2 papers
cs.DC2025
Age-Aware Partial Gradient Update Strategy for Federated Learning Over the Air
Ruihao Du, Jiaqi Zhu, Zeshen Li +1
Frequent parameter exchanges between clients and the edge server incur substantial communication overhead, posing a critical bottleneck in federated learning (FL). By exploiting th…
cs.LG2023
Personalizing Federated Learning with Over-the-Air Computations
Zihan Chen, Zeshen Li, Howard H. Yang +1
Federated edge learning is a promising technology to deploy intelligence at the edge of wireless networks in a privacy-preserving manner. Under such a setting, multiple clients col…