Research graph
References from GraMFedDHAR: Graph based multimodal differentially private federated human activity recognition. Local targets link to admitted publications; unresolved targets remain external evidence.
Deep learning with differential privacy
2016 · External reference
Graph convolutional neural network for human action recognition: A comprehensive survey
10.1109/tai.2021.3076974 · 2021 · External reference
Practical secure aggregation for privacy-preserving machine learning
2017 · External reference
Membership inference attacks from first principles
2022 · External reference
Differentially private federated learning on non-IID data: Convergence analysis and adaptive optimization
10.1109/tkde.2024.3379001 · 2024 · External reference
Unresolved reference
External reference
Mmhar-ensemnet: A multi-modal human activity recognition model
10.1109/jsen.2020.3034614 · 2020 · External reference
Unresolved reference
External reference
Differential privacy for deep and federated learning: A survey
10.1109/access.2022.3151670 · 2022 · External reference
Differentially private human activity recognition for smartphone users
10.1007/s11042-022-13185-4 · 2022 · External reference
Lightweight human activity recognition method based on the mobileHARC model
10.1080/21642583.2024.2328549 · 2024 · External reference
The distributed discrete Gaussian mechanism for federated learning with secure aggregation
2021 · External reference
Unresolved reference
External reference
A review of machine learning-based human activity recognition for diverse applications
10.1007/s00521-022-07665-9 · 2022 · External reference
A tiny inertial transformer for human activity recognition via multimodal knowledge distillation and explainable AI
10.1038/s41598-025-26297-2 · 2025 · External reference
Rényi differential privacy
2017 · External reference
A new framework for smartphone sensor based human activity recognition using graph neural network
10.1109/jsen.2020.3015726 · 2020 · External reference
Wearable sensor-based human activity recognition: Performance and interpretability of dynamic neural networks
10.3390/s25144420 · 2025 · External reference
Locally private graph neural networks
2021 · External reference
GAP: Differentially private graph neural networks with aggregation perturbation
2023 · External reference
GraFeHTy: Graph neural network using federated learning for human activity recognition
2021 · External reference
Membership inference attacks against machine learning models
2017 · External reference
Deep convLSTM with self-attention for human activity decoding using wearable sensors
10.1109/jsen.2020.3045135 · 2020 · External reference
Systematic evaluation of privacy risks of machine learning models
2021 · External reference
Human activity recognition using machine learning methods in a smart healthcare environment
2020 · External reference
Attention is all you need
2017 · External reference
Subsampled Rényi differential privacy and analytical moments accountant
2019 · External reference
Body RFID skeleton-based human activity recognition using graph convolution neural network
10.1109/tmc.2023.3333043 · 2023 · External reference
Federated learning with differential privacy: Algorithms and performance analysis
10.1109/tifs.2020.2988575 · 2020 · External reference
TCN-attention-har: Human activity recognition based on attention mechanism time convolutional network
10.1038/s41598-024-57912-3 · 2024 · External reference
Unresolved reference
External reference
Simplifying graph convolutional networks
2019 · External reference
A unified framework for multi-modal federated learning
10.1016/j.neucom.2022.01.063 · 2022 · External reference
Spatial temporal graph convolutional networks for skeleton-based action recognition
2018 · External reference
Deep convolutional neural networks on multichannel time series for human activity recognition
2015 · External reference
Activity graph based convolutional neural network for human activity recognition using acceleration and gyroscope data
10.1109/tii.2022.3142315 · 2022 · External reference
Cross-modal federated human activity recognition
10.1109/tpami.2024.3367412 · 2024 · External reference
Privacy risk in machine learning: Analyzing the connection to overfitting
2018 · External reference
Differentially private integrated decision gradients (idg-dp) for radar-based human activity recognition
2025 · External reference
AdaDpFed: A differentially private federated learning algorithm with adaptive noise on non-IID data
10.1109/tce.2023.3320122 · 2024 · External reference
A review of machine learning-based human activity recognition for diverse applications
10.1007/s00521-022-07665-9 · ExternalCitation · doi-reference
Differentially private human activity recognition for smartphone users
10.1007/s11042-022-13185-4 · ExternalCitation · doi-reference
A unified framework for multi-modal federated learning
10.1016/j.neucom.2022.01.063 · ExternalCitation · doi-reference
TCN-attention-har: Human activity recognition based on attention mechanism time convolutional network
10.1038/s41598-024-57912-3 · ExternalCitation · doi-reference
A tiny inertial transformer for human activity recognition via multimodal knowledge distillation and explainable AI
10.1038/s41598-025-26297-2 · ExternalCitation · doi-reference
Lightweight human activity recognition method based on the mobileHARC model
10.1080/21642583.2024.2328549 · ExternalCitation · doi-reference
Differential privacy for deep and federated learning: A survey
10.1109/access.2022.3151670 · ExternalCitation · doi-reference
A new framework for smartphone sensor based human activity recognition using graph neural network
10.1109/jsen.2020.3015726 · ExternalCitation · doi-reference
Mmhar-ensemnet: A multi-modal human activity recognition model
10.1109/jsen.2020.3034614 · ExternalCitation · doi-reference
Deep convLSTM with self-attention for human activity decoding using wearable sensors
10.1109/jsen.2020.3045135 · ExternalCitation · doi-reference
Graph convolutional neural network for human action recognition: A comprehensive survey
10.1109/tai.2021.3076974 · ExternalCitation · doi-reference
AdaDpFed: A differentially private federated learning algorithm with adaptive noise on non-IID data
10.1109/tce.2023.3320122 · ExternalCitation · doi-reference
Federated learning with differential privacy: Algorithms and performance analysis
10.1109/tifs.2020.2988575 · ExternalCitation · doi-reference
Activity graph based convolutional neural network for human activity recognition using acceleration and gyroscope data
10.1109/tii.2022.3142315 · ExternalCitation · doi-reference
Differentially private federated learning on non-IID data: Convergence analysis and adaptive optimization
10.1109/tkde.2024.3379001 · ExternalCitation · doi-reference
Body RFID skeleton-based human activity recognition using graph convolution neural network
10.1109/tmc.2023.3333043 · ExternalCitation · doi-reference
Cross-modal federated human activity recognition
10.1109/tpami.2024.3367412 · ExternalCitation · doi-reference
Wearable sensor-based human activity recognition: Performance and interpretability of dynamic neural networks
10.3390/s25144420 · ExternalCitation · doi-reference
