Multi-User QoE Enhancement: Federated Multi-Agent Reinforcement Learning for Cooperative Edge Intelligence
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DOI: 10.1109/mnet.001.2200194
Abstract: Federated learning (FL) as a new decentralized learning/computing technique has potential advantages (e.g., accelerating computation task processing and protecting user privacy) for edge intelligence. However, due to limited computing/ caching capacities of network edges and… read more here.
Keywords: user qoe; edge intelligence; multi user;