24 citations · 87 across the 18 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.LG2023
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation
Xinyuan Ji, Xu Zhang, Wei Xi +3
Multi-task reinforcement learning and meta-reinforcement learning have been developed to quickly adapt to new tasks, but they tend to focus on tasks with higher rewards and more fr…
cs.LG2023
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering
Xu Zhang, Wenpeng Li, Yunfeng Shao +3
Federated learning (FL) is a promising framework that models distributed machine learning while protecting the privacy of clients. However, FL suffers performance degradation from…
eess.SY2023★ 1 cited
Robust one-shot estimation over shared networks in the presence of denial-of-service attacks
Xu Zhang, Marcos M. Vasconcelos
Multi-agent systems often communicate over low-power shared wireless networks in unlicensed spectrum, prone to denial-of-service attacks. We consider the following scenario: multip…