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FedLoRD: Personalized Federated Learning based on Low-Rank Structures of Model Parameter Differences
We propose FedLoRD, a personalized federated learning (PFL) method based on the low-rank structure of the differences between the global and personalized model parameters. PFL is a branch of federated learning that aims to learn models tailored to the local data of each client under biased local dat
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