2 papers
cs.NI2023
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework
Xinjing Yuan, Lingjun Pu, Lei Jiao +3
In this paper, we advocate CPN-FedSL, a novel and flexible Federated Split Learning (FedSL) framework over Computing Power Network (CPN). We build a dedicated model to capture the…
cs.NI2020
Cost-efficient and Skew-aware Data Scheduling for Incremental Learning in 5G Network
Lingjun Pu, Xinjing Yuan, Xiaohang Xu +3
To facilitate the emerging applications in 5G networks, mobile network operators will provide many network functions in terms of control and prediction. Recently, they have recogni…