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Federated Multiagent Deep Reinforcement Learning for Intelligent IoT Wireless Communications: Overview and Challenges

Hugo De Oliveira et al.
HAL (France) · Papers
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federated-learningiot
Federated Multi-Agent Deep Reinforcement Learning (FMADRL) is gathering keen research interests, as it may offer efficient solutions towards meeting the extreme requirements of future wireless communication networks. By contrast to centralized Deep Reinforcement Learning (DRL) and Multi-Agent DRL (M
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