Personalized Federated Learning using Hypernetworks
Federated learning (FL) is the task of learning a model over multiple disjoint local datasets (McMahan et al., 2017a; Yang et al., 2019). It is particularly useful when local data cannot be shared due to privacy, storage, or communication constraints. This is …
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