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Abstract: Personalized Federated Learning (PFL) is proposed to find the greatest personalized models for each client. To avoid the central failure and communication bottleneck in the server-based FL, ...
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Abstract: In federated learning (FL), the heterogeneity of data and asynchronous participation of clients have been observed to induce the local client’s model discrepancy with high variance, leading ...