AI RESEARCH
Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing
arXiv CS.LG
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ArXi:2511.01743v2 Announce Type: replace Recent advancements in large artificial intelligence models (LAMs) are driving significant innovations in mobile edge computing within next-generation wireless networks. However, the substantial demands for computational resources and larges-cale