Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection
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In the context of distributed machine learning, the concept of federated learning (FL) has emerged as a solution to the privacy concerns that users have about sharing their own data with a third-party server. FL allows a group of users (often referred to as cl... ...
