Research graph
References from ABE-FL: Efficient and secure federated learning based on CP-ABE with high-security elliptic curves. Local targets link to admitted publications; unresolved targets remain external evidence.
Communication-efficient learning of deep networks from decentralized data
2017 · External reference
Ciphertext-policy attribute-based encryption: an expressive, efficient, and provably secure realization
2011 · External reference
Federated optimization in heterogeneous networks
2020 · External reference
Scaffold: stochastic controlled averaging for federated learning
2020 · External reference
Unresolved reference
External reference
Model-contrastive federated learning
2021 · External reference
Federated learning with gan-based data synthesis for non-iid clients
2022 · External reference
Machine learning with adversaries: Byzantine tolerant gradient descent
2017 · External reference
Privacy-preserving deep learning: revisited and enhanced
2017 · External reference
Public-key cryptosystems based on composite degree residuosity classes
1999 · External reference
Deep leakage from gradients
2019 · External reference
VerifyNet: secure and verifiable federated learning
10.1109/tifs.2019.2929409 · 2019 · External reference
An efficient blockchain-based privacy-preserving scheme with attribute and homomorphic encryption
10.1002/int.22946 · 2022 · External reference
Privacy threat and defense for federated learning with non-iid data in AIot
10.1109/tii.2021.3073925 · 2021 · External reference
Eluding secure aggregation in federated learning via model inconsistency
2022 · External reference
Tableak: tabular data leakage in federated learning
2023 · External reference
Turning privacy-preserving mechanisms against federated learning
2023 · External reference
Unraveling the connections between privacy and certified robustness in federated learning against poisoning attacks
2023 · External reference
Client selection for federated learning with heterogeneous resources in mobile edge
2019 · External reference
Blockchain and federated learning for privacy-preserved data sharing in industrial IoT
10.1109/tii.2019.2942190 · 2019 · External reference
Asynchronous federated learning over wireless communication networks
10.1109/twc.2022.3153495 · 2022 · External reference
Efficient federated learning for AIot applications using knowledge distillation
10.1109/jiot.2022.3229374 · 2022 · External reference
FED-CBS: a heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction
2023 · External reference
Fuzzy identity-based encryption
2005 · External reference
Attribute-based encryption for fine-grained access control of encrypted data
2006 · External reference
Ciphertext-policy attribute-based encryption
2007 · External reference
Outsourcing the decryption of {ABE} ciphertexts
2011 · External reference
Fame: fast attribute-based message encryption
2017 · External reference
Attribute-based encryption in the generic group model: automated proofs and new constructions
2017 · External reference
Acabella: automated (crypt) analysis of attribute-based encryption leveraging linear algebra
2023 · External reference
Homomorphic encryption from learning with errors: conceptually-simpler, asymptotically-faster, attribute-based
2013 · External reference
BFV-based homomorphic encryption for privacy-preserving CNN models
10.3390/cryptography6030034 · 2022 · External reference
Privacy preserving federated learning using CKKS homomorphic encryption
2022 · External reference
An efficient blockchain-based privacy-preserving scheme with attribute and homomorphic encryption
10.1002/int.22946 · ExternalCitation · doi-reference
Efficient federated learning for AIot applications using knowledge distillation
10.1109/jiot.2022.3229374 · ExternalCitation · doi-reference
VerifyNet: secure and verifiable federated learning
10.1109/tifs.2019.2929409 · ExternalCitation · doi-reference
Blockchain and federated learning for privacy-preserved data sharing in industrial IoT
10.1109/tii.2019.2942190 · ExternalCitation · doi-reference
Privacy threat and defense for federated learning with non-iid data in AIot
10.1109/tii.2021.3073925 · ExternalCitation · doi-reference
Asynchronous federated learning over wireless communication networks
10.1109/twc.2022.3153495 · ExternalCitation · doi-reference
BFV-based homomorphic encryption for privacy-preserving CNN models
10.3390/cryptography6030034 · ExternalCitation · doi-reference
