3 papers
cs.LG2025
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
Xi Chen, Qin Li, Haibin Cai +1
Federated Learning (FL) empowers multiple clients to collaboratively train machine learning models without sharing local data, making it highly applicable in heterogeneous Internet…
cs.LG2025
Brain-Inspired Decentralized Satellite Learning in Space Computing Power Networks
Peng Yang, Ting Wang, Haibin Cai +3
Satellite networks are able to collect massive space information with advanced remote sensing technologies, which is essential for real-time applications such as natural disaster m…
cs.NI2024
PET: Multi-agent Independent PPO-based Automatic ECN Tuning for High-Speed Data Center Networks
Kai Cheng, Ting Wang, Xiao Du +2
Explicit Congestion Notification (ECN)-based congestion control schemes have been widely adopted in high-speed data center networks (DCNs), where the ECN marking threshold plays a…