arXiv Machine Learning July 17, 2026 By Santhosh Parampottupadam, Andres Martinez, Dimitrios Bounias, Sinem Sav, Klaus Maier-Hein, Ralf Floca

Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks

Read the original on arXiv Machine Learning →

arXiv:2607. 14205v1 Announce Type: new Abstract: Federated learning (FL) enables multi-institutional training on clinical text without sharing raw data, but gradient inversion can reconstruct sensitive information from shared model updates.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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