BCAFL: a secure and efficient blockchain framework for asynchronous federated learning. [PDF]
Yun J, Liu T.
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Experimentally Validated Quantum-Secure Federated Learning over a Multi-user Quantum Network. [PDF]
Liu ZP +8 more
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FL-TWIN: a unified federated learning system for intrusion detection with digital twins modelling. [PDF]
Hamwi AA, Mittal M.
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A novel intrusion detection system for IIoT in 5G networks using attention-augmented federated learning and lightweight transformer architectures. [PDF]
Du J.
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Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapes. [PDF]
T S, Devadas RM.
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Threshold-adaptive pruning with multi-key homomorphic encryption for communication-efficient secure federated learning. [PDF]
Guo J, Liu R, Xing J.
europepmc +1 more source
Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach. [PDF]
Hangsun Y +4 more
europepmc +1 more source
Federated Learning for non-IID Healthcare Data
openaire +1 more source
Federated learning on non-IID data: A survey [PDF]
Zhu H, Xu J, Liu S, Jin Y. Federated learning on non-IID data: A survey. Neurocomputing. 2021;465:371-390.Federated learning is an emerging distributed machine learning framework for privacy preservation.
Yaochu Jin, Hangyu Zhu
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