Joint Client Scheduling and Wireless Resource Allocation for Heterogeneous Federated Edge Learning With Non-IID Data
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DOI: 10.1109/tvt.2023.3333329
Abstract: Federated learning (FL) embraces the concepts of targeted data gathering and training, and it can reduce many of the systemic privacy costs and hazards associated with traditional machine learning frameworks. However, with the low latency… read more here.
Keywords: scheduling wireless; joint client; client scheduling; client ... See more keywords