2023
DOI: 10.1109/access.2023.3281832
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Decentralized Learning in Healthcare: A Review of Emerging Techniques

Abstract: Recent developments in deep learning have contributed to numerous success stories in healthcare. The performance of a deep learning model generally improves with the size of the training data. However, there are privacy, ownership, and regulatory issues that prevent combining medical data into traditional centralized storage. Decentralized learning approaches enable collaborative model training by distributing the learning process among several nodes or devices. Conceptually, decentralized learning builds on e… Show more

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Cited by 5 publications
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