Research graph
References from Federated learning under limited and imperfect label supervision: A survey. Local targets link to admitted publications; unresolved targets remain external evidence.
Active learning based federated learning for waste and natural disaster image classification
10.1109/access.2020.3038676 · 2020 · External reference
Federated active learning (f-AL): An efficient annotation strategy for federated learning
10.1109/access.2024.3376746 · 2024 · External reference
Video summarization using deep neural networks: A survey
10.1109/jproc.2021.3117472 · 2021 · External reference
Unresolved reference
External reference
Combating data imbalances in federated semi-supervised learning with dual regulators
2024 · External reference
Adaptive test-time personalization for federated learning
2023 · External reference
Federated continual learning for task-incremental and class-incremental problems: A survey
10.1016/j.eswa.2025.129278 · 2026 · External reference
Machine learning with adversaries: Byzantine tolerant gradient descent
2017 · External reference
Knowledge-aware federated active learning with non-IID data
2023 · External reference
Federated learning empowered recommendation model for financial consumer services
10.1109/tce.2023.3339702 · 2024 · External reference
FedTriNet: A pseudo labeling method with three players for federated semi-supervised learning
2021 · External reference
FedDat: An approach for foundation model finetuning in multi-modal heterogeneous federated learning
2024 · External reference
Think twice before selection: Federated evidential active learning for medical image analysis with domain shifts
2024 · External reference
A simple framework for contrastive learning of visual representations
2020 · External reference
Exploring simple siamese representation learning
2021 · External reference
Unresolved reference
External reference
Towards federated large language models: Motivations, methods, and future directions
10.1109/comst.2024.3503680 · 2025 · External reference
Local or global: Selective knowledge assimilation for federated learning with limited labels
2023 · External reference
EU personal data protection in policy and practice
10.1007/978-94-6265-282-8 · 2019 · External reference
Scalable watermarking for identifying large language model outputs
10.1038/s41586-024-08025-4 · 2024 · External reference
SemiFL: Semi-supervised federated learning for unlabeled clients with alternate training
2022 · External reference
Soft separation and distillation: Toward global uniformity in federated unsupervised learning
2025 · External reference
Robust federated learning with noisy and heterogeneous clients
2022 · External reference
Federated learning for mobility applications
10.1145/3637868 · 2024 · External reference
Training deep neural-networks using a noise adaptation layer
2017 · External reference
Bootstrap your own latent - a new approach to self-supervised learning
2020 · External reference
AutoDO: Robust autoaugment for biased data with label noise via scalable probabilistic implicit differentiation
2021 · External reference
Cooperative pseudo labeling for unsupervised federated classification
2025 · External reference
Dual class-aware contrastive federated semi-supervised learning
10.1109/tmc.2024.3474732 · 2025 · External reference
Unleashing the prospective of blockchain-federated learning fusion for iot security: A comprehensive review
10.1016/j.cosrev.2024.100685 · 2024 · External reference
Unresolved reference
External reference
Co-teaching: Robust training of deep neural networks with extremely noisy labels
2018 · External reference
Fedx: Unsupervised federated learning with cross knowledge distillation
2022 · External reference
Federated semi-supervised calibrated efficient fine-tuning of foundation models for medical image classification
2025 · External reference
Unresolved reference
External reference
Momentum contrast for unsupervised visual representation learning
2020 · External reference
Federated semi-supervised learning with inter-client consistency & disjoint learning
2021 · External reference
Emerging trends in federated learning: From model fusion to federated x learning
10.1007/s13042-024-02119-1 · 2024 · External reference
FedFixer: Mitigating heterogeneous label noise in federated learning
2024 · External reference
A comprehensive survey on communication-efficient federated learning in mobile edge environments
10.1109/comst.2025.3535957 · 2025 · External reference
Test-time robust personalization for federated learning
2023 · External reference
MentorNet: Learning data-driven curriculum for very deep neural networks on corrupted labels
2018 · External reference
Heterogeneity-aware federated deep multi-view clustering towards diverse feature representations
2024 · External reference
Tackling noisy clients in federated learning with end-to-end label correction
2024 · External reference
Towards federated learning against noisy labels via local self-regularization
2022 · External reference
Clients help clients: Alternating collaboration for semi-supervised federated learning
2024 · External reference
An information fusion approach to learning with instance-dependent label noise
2022 · External reference
10.1007/978-981-19-7083-2
10.1007/978-981-19-7083-2 · External reference
Unresolved reference
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ProtoFL: Unsupervised federated learning via prototypical distillation
2023 · External reference
Re-thinking federated active learning based on inter-class diversity
2023 · External reference
FedRN: Exploiting k-reliable neighbors towards robust federated learning
2022 · External reference
Oh-FedRec: One-shot and heterogeneous vertical federated recommendation system
10.1109/tce.2025.3532724 · 2025 · External reference
FedAWR: An interactive federated active learning framework for air writing recognition
10.1109/tmc.2023.3320147 · 2024 · External reference
Federated graph anomaly detection via contrastive self-supervised learning
10.1109/tnnls.2024.3414326 · 2024 · External reference
Federatedscope-LLM: A comprehensive package for fine-tuning large language models in federated learning
2024 · External reference
Robust inference via generative classifiers for handling noisy labels
2019 · External reference
(FL)2: Overcoming few labels in federated semi-supervised learning
2024 · External reference
A survey on deep active learning: Recent advances and new frontiers
2024 · External reference
Exploring feature selection with limited labels: A comprehensive survey of semi-supervised and unsupervised approaches
10.1109/tkde.2024.3397878 · 2024 · External reference
Prototype-guided knowledge transfer for federated unsupervised cross-modal hashing
2023 · External reference
FedDiv: Collaborative noise filtering for federated learning with noisy labels
2024 · External reference
Class balanced adaptive pseudo labeling for federated semi-supervised learning
2023 · External reference
A survey on federated learning systems: Vision, hype and reality for data privacy and protection
10.1109/tkde.2021.3124599 · 2021 · External reference
TTA-FedDG: Leveraging test-time adaptation to address federated domain generalization
2025 · External reference
RSCFed: Random sampling consensus federated semi-supervised learning
2022 · External reference
Rethinking the representation in federated unsupervised learning with non-IID data
2024 · External reference
Unresolved reference
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Federated semi-supervised medical image classification via inter-client relation matching
2021 · External reference
Vertical federated learning: Concepts, advances, and challenges
10.1109/tkde.2024.3352628 · 2024 · External reference
Label leakage in vertical federated learning: A survey
2024 · External reference
FedCD: Federated semi-supervised learning with class awareness balance via dual teachers
2024 · External reference
FedOCD: A one-shot federated framework for heterogeneous cross-domain recommendation
2024 · External reference
Subgraph federated learning with global graph reconstruction
2023 · External reference
Unresolved reference
External reference
Federated learning with extremely noisy clients via negative distillation
2024 · External reference
Federated learning with non-IID data: A survey
10.1109/jiot.2024.3376548 · 2024 · External reference
Orchestra: Unsupervised federated learning via globally consistent clustering
2022 · External reference
A comprehensive survey of federated intrusion detection systems: Techniques, challenges and solutions
10.1016/j.cosrev.2024.100717 · 2025 · External reference
Federated semi-supervised learning with contrastive representations against noisy labels
10.1016/j.asoc.2025.113421 · 2025 · External reference
Communication-efficient learning of deep networks from decentralized data
2017 · External reference
Fed-NL: A federated learning approach to suppress noise in participant datasets to reduce communication rounds for convergence
10.1109/tmc.2025.3558874 · 2025 · External reference
Sam-fed: Sam-guided federated semi-supervised learning for medical image segmentation
2026 · External reference
Federated learning for smart healthcare: A survey
10.1145/3501296 · 2022 · External reference
Federated learning with dynamics-aware loss for label noise
10.1016/j.eswa.2026.131523 · 2026 · External reference
Semi-supervised knowledge transfer for deep learning from private training data
2017 · External reference
Scalable private learning with PATE
2018 · External reference
Semi-supervised and personalized federated activity recognition based on active learning and label propagation
10.1007/s00779-022-01688-8 · 2022 · External reference
Federated generalized category discovery
2024 · External reference
Unresolved reference
External reference
FedCTTA: A collaborative approach to continual test-time adaptation in federated learning
2025 · External reference
L-DAWA: Layer-wise divergence aware weight aggregation in federated self-supervised visual representation learning
2023 · External reference
Advances and open challenges in federated foundation models
10.1109/comst.2025.3552524 · 2026 · External reference
Industrial defect detection for data privacy and domain differences: Based on federated learning and unsupervised domain adaptation
10.1016/j.eswa.2026.131265 · 2026 · External reference
A static bi-dimensional sample selection for federated learning with label noise
2023 · External reference
A survey on label-efficient deep image segmentation: Bridging the gap between weak supervision and dense prediction
10.1109/tpami.2023.3246102 · 2023 · External reference
A systematic survey on federated semi-supervised learning
2024 · External reference
Federated adaptive prompt tuning for multi-domain collaborative learning
2024 · External reference
Unresolved reference
External reference
Learn how to query from unlabeled data streams in federated learning
2025 · External reference
FedCoop: Cooperative federated learning for noisy labels
2023 · External reference
A systematic literature review of robust federated learning: Issues, solutions, and future research directions
10.1145/3727643 · 2025 · External reference
Leveraging unlabeled data in federated learning: A review
10.1109/access.2025.3623444 · 2025 · External reference
Unsupervised federated optimization at the edge: D2d-enabled learning without labels
10.1109/tccn.2024.3392792 · 2024 · External reference
BSemiFL: Semi-supervised federated learning via a bayesian approach
2025 · External reference
Federated semi-supervised learning with tolerant guidance and powerful classifier in edge scenarios
10.1016/j.ins.2024.120201 · 2024 · External reference
Knowledge-enhanced semi-supervised federated learning for aggregating heterogeneous lightweight clients in iot
2023 · External reference
Federated learning with instance-dependent noisy label
2024 · External reference
Towards stable federated continual test-time adaptation in wild world
2026 · External reference
Exploring personalized intents with knowledge graph for federated self-supervised recommendation
2024 · External reference
Enhancing federated learning with in-cloud unlabeled data
2022 · External reference
Horizontal federated recommender system: A survey
2024 · External reference
Self-filtering: A noise-aware sample selection for label noise with confidence penalization
2022 · External reference
Balanced federated semisupervised learning with fairness-aware pseudo-labeling
10.1109/tnnls.2022.3233093 · 2024 · External reference
Unresolved reference
External reference
FedbiOT: LLM local fine-tuning in federated learning without full model
2024 · External reference
FedA3I: Annotation quality-aware aggregation for federated medical image segmentation against heterogeneous annotation noise
2024 · External reference
FedNoRo: Towards noise-robust federated learning by addressing class imbalance and label noise heterogeneity
2023 · External reference
Robust early-learning: Hindering the memorization of noisy labels
2021 · External reference
A survey of label-efficient deep learning for 3d point clouds
10.1109/tpami.2024.3416302 · 2024 · External reference
FedCorr: Multi-stage federated learning for label noise correction
2022 · External reference
Overcoming noisy labels and non-IID data in edge federated learning
10.1109/tmc.2024.3398801 · 2024 · External reference
Enhancing federated learning with server-side unlabeled data by adaptive client and data selection
10.1109/tmc.2023.3265010 · 2024 · External reference
Class-aware active annotation in federated semi-supervised learning for medical image classification
2026 · External reference
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from china, italy, japan
10.1016/j.media.2021.101992 · 2021 · External reference
Client selection for federated learning with label noise
10.1109/tvt.2021.3131852 · 2021 · External reference
Robust federated learning with noisy labels
10.1109/mis.2022.3151466 · 2022 · External reference
A survey on deep semi-supervised learning
10.1109/tkde.2022.3220219 · 2023 · External reference
Cross-modal federated human activity recognition
10.1109/tpami.2024.3367412 · 2024 · External reference
Heterogeneous federated learning: State-of-the-art and research challenges
10.1145/3625558 · 2023 · External reference
Byzantine-robust distributed learning: Towards optimal statistical rates
2018 · External reference
FedeFC: Federated learning using enhanced forward correction against noisy labels
2026 · External reference
Non-IID always bad? semi-supervised heterogeneous federated learning with local knowledge enhancement
2023 · External reference
Prototype similarity distillation for communication-efficient federated unsupervised representation learning
10.1109/tkde.2024.3386712 · 2024 · External reference
Federated unsupervised representation learning
10.1631/fitee.2200268 · 2023 · External reference
Towards few-label vertical federated learning
2024 · External reference
A game-theoretic federated learning framework for data quality improvement
10.1109/tkde.2022.3230959 · 2022 · External reference
Robust training of federated models with extremely label deficiency
2024 · External reference
AffectFAL: Federated active affective computing with non-IID data
2023 · External reference
Improving semi-supervised federated learning by reducing the gradient diversity of models
2021 · External reference
Centrality and consistency: Two-stage clean samples identification for learning with instance-dependent noisy labels
2022 · External reference
MedFedProto: A semi-supervised classification framework for medical images based on federated prototypical learning
10.1016/j.eswa.2025.130332 · 2026 · External reference
Federated label-noise learning with local diversity product regularization
2024 · External reference
Estimating before debiasing: A bayesian approach to detaching prior bias in federated semi-supervised learning
2024 · External reference
Multimodal sentiment analysis with unimodal label generation and modality decomposition
10.1016/j.inffus.2024.102787 · 2025 · External reference
Semi-supervised federated learning for travel mode identification from GPS trajectories
10.1109/tits.2021.3092015 · 2022 · External reference
Unresolved reference
External reference
Collaborative unsupervised visual representation learning from decentralized data
2021 · External reference
Divergence-aware federated self-supervised learning
2022 · External reference
Privacy-enhanced prototype-based federated cross-modal hashing for cross-modal retrieval
10.1145/3674507 · 2024 · External reference
A survey of blockchain and artificial intelligence for 6g wireless communications
10.1109/comst.2023.3315374 · 2023 · External reference
EU personal data protection in policy and practice
10.1007/978-94-6265-282-8 · ExternalCitation · doi-reference
10.1007/978-981-19-7083-2
10.1007/978-981-19-7083-2 · ExternalCitation · doi-reference
Semi-supervised and personalized federated activity recognition based on active learning and label propagation
10.1007/s00779-022-01688-8 · ExternalCitation · doi-reference
Emerging trends in federated learning: From model fusion to federated x learning
10.1007/s13042-024-02119-1 · ExternalCitation · doi-reference
Federated semi-supervised learning with contrastive representations against noisy labels
10.1016/j.asoc.2025.113421 · ExternalCitation · doi-reference
Unleashing the prospective of blockchain-federated learning fusion for iot security: A comprehensive review
10.1016/j.cosrev.2024.100685 · ExternalCitation · doi-reference
A comprehensive survey of federated intrusion detection systems: Techniques, challenges and solutions
10.1016/j.cosrev.2024.100717 · ExternalCitation · doi-reference
Federated continual learning for task-incremental and class-incremental problems: A survey
10.1016/j.eswa.2025.129278 · ExternalCitation · doi-reference
MedFedProto: A semi-supervised classification framework for medical images based on federated prototypical learning
10.1016/j.eswa.2025.130332 · ExternalCitation · doi-reference
Industrial defect detection for data privacy and domain differences: Based on federated learning and unsupervised domain adaptation
10.1016/j.eswa.2026.131265 · ExternalCitation · doi-reference
Federated learning with dynamics-aware loss for label noise
10.1016/j.eswa.2026.131523 · ExternalCitation · doi-reference
Multimodal sentiment analysis with unimodal label generation and modality decomposition
10.1016/j.inffus.2024.102787 · ExternalCitation · doi-reference
Federated semi-supervised learning with tolerant guidance and powerful classifier in edge scenarios
10.1016/j.ins.2024.120201 · ExternalCitation · doi-reference
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from china, italy, japan
10.1016/j.media.2021.101992 · ExternalCitation · doi-reference
Scalable watermarking for identifying large language model outputs
10.1038/s41586-024-08025-4 · ExternalCitation · doi-reference
Active learning based federated learning for waste and natural disaster image classification
10.1109/access.2020.3038676 · ExternalCitation · doi-reference
Federated active learning (f-AL): An efficient annotation strategy for federated learning
10.1109/access.2024.3376746 · ExternalCitation · doi-reference
Leveraging unlabeled data in federated learning: A review
10.1109/access.2025.3623444 · ExternalCitation · doi-reference
A survey of blockchain and artificial intelligence for 6g wireless communications
10.1109/comst.2023.3315374 · ExternalCitation · doi-reference
Towards federated large language models: Motivations, methods, and future directions
10.1109/comst.2024.3503680 · ExternalCitation · doi-reference
A comprehensive survey on communication-efficient federated learning in mobile edge environments
10.1109/comst.2025.3535957 · ExternalCitation · doi-reference
Advances and open challenges in federated foundation models
10.1109/comst.2025.3552524 · ExternalCitation · doi-reference
Federated learning with non-IID data: A survey
10.1109/jiot.2024.3376548 · ExternalCitation · doi-reference
Video summarization using deep neural networks: A survey
10.1109/jproc.2021.3117472 · ExternalCitation · doi-reference
Robust federated learning with noisy labels
10.1109/mis.2022.3151466 · ExternalCitation · doi-reference
Unsupervised federated optimization at the edge: D2d-enabled learning without labels
10.1109/tccn.2024.3392792 · ExternalCitation · doi-reference
Federated learning empowered recommendation model for financial consumer services
10.1109/tce.2023.3339702 · ExternalCitation · doi-reference
Oh-FedRec: One-shot and heterogeneous vertical federated recommendation system
10.1109/tce.2025.3532724 · ExternalCitation · doi-reference
Semi-supervised federated learning for travel mode identification from GPS trajectories
10.1109/tits.2021.3092015 · ExternalCitation · doi-reference
A survey on federated learning systems: Vision, hype and reality for data privacy and protection
10.1109/tkde.2021.3124599 · ExternalCitation · doi-reference
A survey on deep semi-supervised learning
10.1109/tkde.2022.3220219 · ExternalCitation · doi-reference
A game-theoretic federated learning framework for data quality improvement
10.1109/tkde.2022.3230959 · ExternalCitation · doi-reference
Vertical federated learning: Concepts, advances, and challenges
10.1109/tkde.2024.3352628 · ExternalCitation · doi-reference
Prototype similarity distillation for communication-efficient federated unsupervised representation learning
10.1109/tkde.2024.3386712 · ExternalCitation · doi-reference
Exploring feature selection with limited labels: A comprehensive survey of semi-supervised and unsupervised approaches
10.1109/tkde.2024.3397878 · ExternalCitation · doi-reference
Enhancing federated learning with server-side unlabeled data by adaptive client and data selection
10.1109/tmc.2023.3265010 · ExternalCitation · doi-reference
FedAWR: An interactive federated active learning framework for air writing recognition
10.1109/tmc.2023.3320147 · ExternalCitation · doi-reference
Overcoming noisy labels and non-IID data in edge federated learning
10.1109/tmc.2024.3398801 · ExternalCitation · doi-reference
Dual class-aware contrastive federated semi-supervised learning
10.1109/tmc.2024.3474732 · ExternalCitation · doi-reference
Fed-NL: A federated learning approach to suppress noise in participant datasets to reduce communication rounds for convergence
10.1109/tmc.2025.3558874 · ExternalCitation · doi-reference
Balanced federated semisupervised learning with fairness-aware pseudo-labeling
10.1109/tnnls.2022.3233093 · ExternalCitation · doi-reference
Federated graph anomaly detection via contrastive self-supervised learning
10.1109/tnnls.2024.3414326 · ExternalCitation · doi-reference
A survey on label-efficient deep image segmentation: Bridging the gap between weak supervision and dense prediction
10.1109/tpami.2023.3246102 · ExternalCitation · doi-reference
Cross-modal federated human activity recognition
10.1109/tpami.2024.3367412 · ExternalCitation · doi-reference
A survey of label-efficient deep learning for 3d point clouds
10.1109/tpami.2024.3416302 · ExternalCitation · doi-reference
Client selection for federated learning with label noise
10.1109/tvt.2021.3131852 · ExternalCitation · doi-reference
Federated learning for smart healthcare: A survey
10.1145/3501296 · ExternalCitation · doi-reference
Heterogeneous federated learning: State-of-the-art and research challenges
10.1145/3625558 · ExternalCitation · doi-reference
Federated learning for mobility applications
10.1145/3637868 · ExternalCitation · doi-reference
Privacy-enhanced prototype-based federated cross-modal hashing for cross-modal retrieval
10.1145/3674507 · ExternalCitation · doi-reference
A systematic literature review of robust federated learning: Issues, solutions, and future research directions
10.1145/3727643 · ExternalCitation · doi-reference
Federated unsupervised representation learning
10.1631/fitee.2200268 · ExternalCitation · doi-reference
