#federated learning
Nov 2026
Toward Fair Federated Edge Learning Through Prototype-Guided Distributed Adversarial Networks
Federated learning (FL) is a privacy-preserving machine learning (ML) paradigm that can learn models from distributed datasets owned by mobile terminals (MTs). However, ML models usually contain bias on some user groups/sensitive attributes (e.g., gender and race), which poses additional challenges on FL in real-world...
Kang Wei, Xin-Nan Yuan, Zi-Cong Hong et al.
· IEEE Transactions on Mobile... · 0 citations