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Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks
In this paper, we study how to optimize the federated edge learning (FEEL) in UAV-enabled Internet of things (IoT) for B5G/6G networks, from a deep reinforcement learning (DRL) approach.
Federated Learning
Networking and Internet Architecture
Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things
In particular, the system cost of latency and energy consumption can be reduced significantly by the proposed deep reinforcement learning based algorithm.
