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cs.LG2021
User Scheduling for Federated Learning Through Over-the-Air Computation
Xiang Ma, Haijian Sun, Qun Wang +1
A new machine learning (ML) technique termed as federated learning (FL) aims to preserve data at the edge devices and to only exchange ML model parameters in the learning process.…
cs.LG2020★ 9 cited
Scheduling Policy and Power Allocation for Federated Learning in NOMA Based MEC
Xiang Ma, Haijian Sun, Rose Qingyang Hu
Federated learning (FL) is a highly pursued machine learning technique that can train a model centrally while keeping data distributed. Distributed computation makes FL attractive…