18 citations · 18 across the 2 of their papers we have counts for
2 papers
eess.SP2026
Clustering-Based User Selection in Federated Learning: Metadata Exploitation for 3GPP Networks
Ce Zheng, Shiyao Ma, Ke Zhang +2
Federated learning (FL) enables collaborative model training without sharing raw user data, but conventional simulations often rely on unrealistic data partitioning and current use…
cs.LG2023★ 18 cited
Federated Learning over a Wireless Network: Distributed User Selection through Random Access
Chen Sun, Shiyao Ma, Ce Zheng +3
User selection has become crucial for decreasing the communication costs of federated learning (FL) over wireless networks. However, centralized user selection causes additional sy…