Assistant Professor, Chongqing University of Post and Telecommunications
1 paper at NeurIPS 2025
This paper proposes FedKWAZ, a framework that enhances heterogeneous federated learning by bridging semantic and decision gaps via Knowledge Weak-Aware Zones.
