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05/30/2022
FedAUXfdp: Differentially Private One-Shot Federated Distillation
Federated learning suffers in the case of non-iid local datasets, i.e., ...
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02/04/2021
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
Federated Distillation (FD) is a popular novel algorithmic paradigm for ...
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12/01/2020
Communication-Efficient Federated Distillation
Communication constraints are one of the major challenges preventing the...
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11/30/2018
