12 citations · 28 across the 15 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks
Bibo Wu, Fang Fang, Xianbin Wang
Despite the advantage of preserving data privacy, federated learning (FL) still suffers from the straggler issue due to the limited computing resources of distributed clients and t…
cs.LG2023
Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning
Bibo Wu, Fang Fang, Xianbin Wang +3
Hierarchical federated learning (HFL) shows great advantages over conventional two-layer federated learning (FL) in reducing network overhead and interaction latency while still re…