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05/15/2023
Federated Learning over Harmonized Data Silos
Federated Learning is a distributed machine learning approach that enabl...
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05/02/2022
Performance Weighting for Robust Federated Learning Against Corrupted Sources
Federated Learning has emerged as a dominant computational paradigm for ...
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03/28/2022
Federated Named Entity Recognition
We present an analysis of the performance of Federated Learning in a par...
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08/07/2021
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
Federated learning (FL) enables distributed computation of machine learn...
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02/16/2021
Scaling Neuroscience Research using Federated Learning
The amount of biomedical data continues to grow rapidly. However, the ab...
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02/04/2021
Semi-Synchronous Federated Learning
There are situations where data relevant to a machine learning problem a...
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08/25/2020