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01/09/2022
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
Federated learning (FL) is a training technique that enables client devi...
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05/24/2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
Pre-trained language models have achieved human-level performance on man...
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10/27/2020
Succinct and Robust Multi-Agent Communication With Temporal Message Control
Recent studies have shown that introducing communication between agents ...
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03/08/2020
On the Robustness of Cooperative Multi-Agent Reinforcement Learning
In cooperative multi-agent reinforcement learning (c-MARL), agents learn...
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09/06/2019