2 papers
cs.LG2025
FedLAD: A Linear Algebra Based Data Poisoning Defence for Federated Learning
Qi Xiong, Hai Dong, Nasrin Sohrabi +1
Sybil attacks pose a significant threat to federated learning, as malicious nodes can collaborate and gain a majority, thereby overwhelming the system. Therefore, it is essential t…
cs.LG2024
Rényi Divergence Deep Mutual Learning
Weipeng Huang, Junjie Tao, Changbo Deng +4
This paper revisits Deep Mutual Learning (DML), a simple yet effective computing paradigm. We propose using Rényi divergence instead of the KL divergence, which is more flexible a…