ROAR-Fed: RIS-Assisted Over-the-Air Adaptive Resource Allocation for Federated Learning
Jiayu Mao,
Aylin Yener
Abstract:Over-the-air federated learning (OTA-FL) integrates communication and model aggregation by exploiting the innate superposition property of wireless channels. The approach renders bandwidth efficient learning, but requires care in handling the wireless physical layer impairments. In this paper, federated edge learning is considered for a network that is heterogeneous with respect to client (edge node) data set distributions and individual client resources, under a general non-convex learning objective. We augme… Show more
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