Abstract: Data generated at the network edge can be processed locally by leveraging the emerging technology of Federated Learning (FL). However, non-IID local data will lead to degradation of model ...
Overview: FastAPI stands out for speed, async support, and built-in validation, making it ideal for modern high-traffic ...
Abstract: Owing to the heterogeneous computation and communication capabilities among clients, the synchronous model aggregation in wireless federated learning (FL) is susceptible to the straggler ...
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