most citedHeterogeneous Federated Learning: State-of-the-art and Research Challenges

19 citations · 31 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025★ 12 cited

Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients

Xiuwen Fang, Mang Ye, Bo Du

This paper studies a challenging robust federated learning task with model heterogeneous and data corrupted clients, where the clients have different local model structures. Data c…

cs.LG2023★ 19 cited

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

Mang Ye, Xiuwen Fang, Bo Du +2

Federated learning (FL) has drawn increasing attention owing to its potential use in large-scale industrial applications. Existing federated learning works mainly focus on model ho…