Federated Learning

Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
Current literature in FL mostly focuses on single-task learning. However, over time, new tasks may appear in the clients and the global …
Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya H. Ezzeldin, Salman Avestimehr
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Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging
Federated Learning (FL) aims to train a machine learning (ML) model in a distributed fashion to strengthen data privacy with limited …
Erum Mushtaq, Yavuz Faruk Bakman, Jie Ding, Salman Avestimehr
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Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging