Hybrid NOMA for Latency Minimization in Wireless Federated Learning for 6G Networks
P. Kavitha,
K. Kavitha
Abstract:Wireless Federated Learning (WFL) is an innovative machine learning paradigm enabling distributed devices to collaboratively learn without sharing raw data. WFL is particularly useful for mobile devices that generate massive amounts of data but have limited resources for training complex models. This paper highlights the significance of reducing delay for efficient WFL implementation through advanced multiple access protocols and joint optimization of communication and computing resources. We propose optimizin… Show more
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