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most citedFLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

39 citations · 59 across the 7 of their papers we have counts for

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cs.CV2023★ 1 cited

Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging

Erum Mushtaq, Yavuz Faruk Bakman, Jie Ding +1

Federated Learning (FL) aims to train a machine learning (ML) model in a distributed fashion to strengthen data privacy with limited data migration costs. It is a distributed learn…