Federated Learning with Taskonomy for Non-IID Data
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DOI: 10.1109/tnnls.2022.3152581
Abstract: Classical federated learning approaches incur significant performance degradation in the presence of non-independent and identically distributed (non-IID) client data. A possible direction to address this issue is forming clusters of clients with roughly IID data.… read more here.
Keywords: non iid; federated learning; learning taskonomy; taskonomy non ... See more keywords