2 papers
cs.DC2026
Parallel Collaborative ADMM Privacy Computing and Adaptive GPU Acceleration for Distributed Edge Networks
Mengchun Xia, Zhicheng Dong, Donghong Cai +3
Distributed computing has been widely applied in distributed edge networks for reducing the processing burden of high-dimensional data centralization, where a high-dimensional comp…
cs.LG2025
Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks
Bibo Wu, Fang Fang, Xianbin Wang
Despite the advantage of preserving data privacy, federated learning (FL) still suffers from the straggler issue due to the limited computing resources of distributed clients and t…