IEEE

Latency Constrained Energy-Efficient Underwater Dynamic Federated Learning

Abstract: Federated learning (FL) has emerged recently as an appealing and promising technique to deal with distributed learning issues in the sixth generation (6G) communication systems. Recent ...
IEEE

Personalized Federated Learning for Heterogeneous Edge Device: Self-Knowledge Distillation Approach

Abstract: Federated learning (FL) has become increasingly popular and distributes machine learning models among a large set of resource-constraint edge devices without transferring data to the ...