2 papers
cs.LG2026
Optimal Routing for Federated Learning over Dynamic Satellite Networks: Tractable or Not?
Yi Zhao, Di Yuan, Tao Deng +2
Federated learning (FL) is a key paradigm for distributed model learning across decentralized data sources. Communication in each FL round typically consists of two phases: (i) dis…
cs.NI2023
Task Offloading Optimization in Mobile Edge Computing under Uncertain Processing Cycles and Intermittent Communications
Tao Deng, Zhanwei Yu, Di Yuan
Mobile edge computing (MEC) has been regarded as a promising approach to deal with explosive computation requirements by enabling cloud computing capabilities at the edge of networ…