Jing-Cai Guo

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...