Towards Personalized Federated Learning via Heterogeneous Model Reassembly Jiaqi Wang 1 Xingyi Y ang

Neural Information Processing Systems 

Federated learning (FL) aims to enable collaborative machine learning without the need to share clients' data with others, thereby upholding data privacy [

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