Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
This research paper introduces Fed-CO2, a universal Federated Learning (FL) framework designed to handle both label distribution skew and feature skew. It uses a cooperation mechanism between online and offline…
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