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Chapter and Conference Paper
Towards Sparsified Federated Neuroimaging Models via Weight Pruning
Federated training of large deep neural networks can often be restrictive due to the increasing costs of communicating the updates with increasing model sizes. Various model pruning techniques have been design...
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Chapter
Federated Learning over Harmonized Data Silos
Federated Learning is a distributed machine learning approach that enables geographically distributed data silos to collaboratively learn a joint machine learning model without sharing data. Most of the existi...
