Search Results for author: Pedro P. B. Gusmão

Found 2 papers, 0 papers with code

Can Fair Federated Learning reduce the need for Personalisation?

no code implementations4 May 2023 Alex Iacob, Pedro P. B. Gusmão, Nicholas D. Lane

For situations where the federated model provides a lower accuracy than a model trained entirely locally by a client, personalisation improves the accuracy of the pre-trained federated weights to be similar to or exceed those of the local client model.

Federated Learning

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