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04/16/2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification
Personalized federated learning (PFL) aims to harness the collective wis...
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03/12/2023
Making Batch Normalization Great in Federated Deep Learning
Batch Normalization (BN) is commonly used in modern deep neural networks...
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07/11/2022
Gradual Domain Adaptation without Indexed Intermediate Domains
The effectiveness of unsupervised domain adaptation degrades when there ...
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06/23/2022
On Pre-Training for Federated Learning
In most of the literature on federated learning (FL), neural networks ar...
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07/02/2021
On Bridging Generic and Personalized Federated Learning
Federated learning is promising for its ability to collaboratively train...
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09/04/2020
FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning
Federated learning aims to leverage users' own data and computational re...
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01/06/2020