2 papers
cs.LG2025
Accelerating Wireless Distributed Learning via Hybrid Split and Federated Learning Optimization
Kun Guo, Xuefei Li, Xijun Wang +3
Federated learning (FL) and split learning (SL) are two effective distributed learning paradigms in wireless networks, enabling collaborative model training across mobile devices w…
cs.DC2025
Batch Denoising for AIGC Service Provisioning in Wireless Edge Networks
Jinghang Xu, Kun Guo, Wei Teng +2
Artificial intelligence-generated content (AIGC) service provisioning in wireless edge networks involves two phases: content generation on edge servers and content transmission to…