2 papers
cs.LG2026
Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing
Song Gao, Songyang Zhang, Shusen Jing +4
Recent advancements in large artificial intelligence models (LAMs) are driving significant innovations in mobile edge computing within next-generation wireless networks. However, t…
cs.LG2025
Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function
Qiuchen Song, Shusen Jing, Shuai Zhang +2
In a distributed mixture-of-experts (MoE) system, a server collaborates with multiple specialized expert clients to perform inference. The server extracts features from input data…