Abstract: Federated learning (FL) has emerged as a key distributed intelligence paradigm in modern computer networks, enabling model training across massive edge devices without exposing raw data.
Abstract: Federated learning is a collaborative machine learning mechanism that allows multiple parties to develop a model without sharing the training data. It is a promising mechanism since it ...
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