This concept isn’t new—in fact, it is the essence of representational state transfer (REST). Instead of converting to a ...

Abstract: Federated Learning (FL) is to collaboratively train a global model among distributed clients by iteratively aggregating their local updates without sharing their raw data, whereby the global ...

Abstract: Multi-agent systems appear in a wide variety of fields and there have been several studies on multi-agent reinforcement learning. Dilemma problems are typical classes of multi-agent problems ...

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