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cs.LG2024
Communication and Energy Efficient Federated Learning using Zero-Order Optimization Technique
Elissa Mhanna, Mohamad Assaad
Federated learning (FL) is a popular machine learning technique that enables multiple users to collaboratively train a model while maintaining the user data privacy. A significant…
cs.LG2019
Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach
Mohit K. Sharma, Alessio Zappone, Mohamad Assaad +2
In this paper, we develop a multi-agent reinforcement learning (MARL) framework to obtain online power control policies for a large energy harvesting (EH) multiple access channel,…