9 citations · 12 across the 4 of their papers we have counts for
4 papers
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.…
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…
Towards Green Mobile Edge Computing Offloading Systems with Security Enhancement
Haijian Sun, Qun Wang, Xiang Ma +2
Mobile edge computing (MEC) is an emerging communication scheme that aims at reducing latency. In this paper, we investigate a green MEC system under the existence of an eavesdropp…
Adaptive Federated Learning With Gradient Compression in Uplink NOMA
Haijian Sun, Xiang Ma, Rose Qingyang Hu
Federated learning (FL) is an emerging machine learning technique that aggregates model attributes from a large number of distributed devices. Several unique features such as energ…