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Ehsan Lari

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#machine learning Open access Feb 2026

Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Sharing

PRISM-FCP is a communication-efficient Byzantine-robust federated conformal prediction framework that uses partial model sharing to mitigate stochastic model-poisoning attacks during training and histogram-based filtering to mitigate adversarial calibration submissions.

Ehsan Lari, Reza Arablouei, Stefan Werner · 0 citations

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