FedDSS: A data-similarity approach for client selection in horizontal federated learning
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Background and objective: Federated learning (FL) is an emerging distributed learning framework allowing multiple clients (hospitals, institutions, smart devices, etc.) to collaboratively train a centralized machine learning mode... ...
