Inverse Distance Aggregation for Federated Learning with Non-IID Data

17 Aug 2020Yousef YeganehAzade FarshadNassir NavabShadi Albarqouni

Federated learning (FL) has been a promising approach in the field of medical imaging in recent years. A critical problem in FL, specifically in medical scenarios is to have a more accurate shared model which is robust to noisy and out-of distribution clients... (read more)

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