19 citations · 36 across the 19 of their papers we have counts for
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cs.DC2024★ 1 cited
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
Kai Yue, Richeng Jin, Chau-Wai Wong +1
Federated learning (FL) enables multiple clients to collaboratively train a global model without sharing their local data. Recent studies have highlighted the vulnerability of FL t…
cs.DC2023★ 11 cited
Distributed Learning over Networks with Graph-Attention-Based Personalization
Zhuojun Tian, Zhaoyang Zhang, Zhaohui Yang +2
In conventional distributed learning over a network, multiple agents collaboratively build a common machine learning model. However, due to the underlying non-i.i.d. data distribut…
cs.DC2021★ 1 cited
Communication-Efficient Federated Learning via Predictive Coding
Kai Yue, Richeng Jin, Chau-Wai Wong +1
Federated learning can enable remote workers to collaboratively train a shared machine learning model while allowing training data to be kept locally. In the use case of wireless m…