2 papers
cs.LG2026
Joint Optimization of Training and Inference in Federated Edge Learning via Constrained Multi-Objective Deep Reinforcement Learning
Zhen Li, Jun Cai, Chao Yang +1
Federated edge learning (FEEL) has recently emerged as a promising paradigm for achieving edge intelligence (EI) via enabling collaborative model training across edge devices while…
cs.LG2025
A Novel Collaborative Framework for Efficient Synchronization in Split Federated Learning over Wireless Networks
Haoran Gao, Samuel D. Okegbile, Jun Cai
Split Federated Learning (SFL) offers a promising approach for distributed model training in wireless networks, combining the layer-partitioning advantages of split learning with t…