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20242026
most citedProtection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling

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cs.LG2025

Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks

Judith Sáinz-Pardo Díaz, Andreas Athanasiou, Kangsoo Jung +2

Federated learning is a distributed learning technique that allows training a global model with the participation of different data owners without the need to share raw data. This…