1 citations · 1 across the 3 of their papers we have counts for
3 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.DC2023★ 1 cited
AICons: An AI-Enabled Consensus Algorithm Driven by Energy Preservation and Fairness
Qi Xiong, Nasrin Sohrabi, Hai Dong +2
Blockchain has been used in several domains. However, this technology still has major limitations that are largely related to one of its core components, namely the consensus proto…
cs.LG2022
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 an…