18 citations · 29 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 9 cited
FedXGBoost: Privacy-Preserving XGBoost for Federated Learning
Nhan Khanh Le, Yang Liu, Quang Minh Nguyen +4
Federated learning is the distributed machine learning framework that enables collaborative training across multiple parties while ensuring data privacy. Practical adaptation of XG…
eess.SY2021★ 2 cited
Safe Feedback Motion Planning in Unknown Environments: An Instantaneous Local Control Barrier Function Approach
Cong Li, Zengjie Zhang, Ahmed Nesrin +3
Mobile robots are desired with resilience to safely interact with prior-unknown environments and finally accomplish given tasks. This paper utilizes instantaneous local sensory dat…
eess.SY2021★ 18 cited
Model-Free Incremental Adaptive Dynamic Programming Based Approximate Robust Optimal Regulation
Cong Li, Yongchao Wang, Fangzhou Liu +2
This paper presents a new formulation for model-free robust optimal regulation of continuous-time nonlinear systems. The proposed reinforcement learning based approach, referred to…