1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Constrained Proximal Policy Optimization
Chengbin Xuan, Feng Zhang, Faliang Yin +1
The problem of constrained reinforcement learning (CRL) holds significant importance as it provides a framework for addressing critical safety satisfaction concerns in the field of…
cs.LG2023
Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction
Jingxin Li, Toktam Mahmoodi, Hak-Keung Lam
Although federated learning has achieved many breakthroughs recently, the heterogeneous nature of the learning environment greatly limits its performance and hinders its real-world…
eess.SP2022★ 1 cited
Time-Frequency Distributions of Heart Sound Signals: A Comparative Study using Convolutional Neural Networks
Xinqi Bao, Yujia Xu, Hak-Keung Lam +4
Time-Frequency Distributions (TFDs) support the heart sound characterisation and classification in early cardiac screening. However, despite the frequent use of TFDs in signal anal…