1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
ADReFT: Adaptive Decision Repair for Safe Autonomous Driving via Reinforcement Fine-Tuning
Mingfei Cheng, Xiaofei Xie, Renzhi Wang +2
Autonomous Driving Systems (ADSs) continue to face safety-critical risks due to the inherent limitations in their design and performance capabilities. Online repair plays a crucial…
cs.DC2024★ 1 cited
NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing
Fei Gao, Ming Hu, Zhiyu Xie +4
With advancements in AI infrastructure and Trusted Execution Environment (TEE) technology, Federated Learning as a Service (FLaaS) through JointCloud Computing (JCC) is promising t…
cs.LG2024
KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting
Zeke Xia, Ming Hu, Dengke Yan +4
Although Split Federated Learning (SFL) is good at enabling knowledge sharing among resource-constrained clients, it suffers from the problem of low training accuracy due to the ne…