6 citations · 17 across the 7 of their papers we have counts for
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cs.LG2022★ 1 cited
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
Sai Qian Zhang, Jieyu Lin, Qi Zhang
Federated learning (FL) is a training technique that enables client devices to jointly learn a shared model by aggregating locally-computed models without exposing their raw data.…
cs.LG2021
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits
Kaushik Roy, Qi Zhang, Manas Gaur +1
Contextual Bandits find important use cases in various real-life scenarios such as online advertising, recommendation systems, healthcare, etc. However, most of the algorithms use…