8 citations · 21 across the 7 of their papers we have counts for
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cs.LG2024
Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing
Cui Zhang, Xiao Xu, Qiong Wu +4
In vehicle edge computing (VEC), asynchronous federated learning (AFL) is used, where the edge receives a local model and updates the global model, effectively reducing the global…
cs.LG2017★ 8 cited
A Machine Learning Framework for Resource Allocation Assisted by Cloud Computing
Jun-Bo Wang, Junyuan Wang, Yongpeng Wu +4
Conventionally, the resource allocation is formulated as an optimization problem and solved online with instantaneous scenario information. Since most resource allocation problems…