Christophe A. N. Biscio
1 indexed paper
Recent (6 mo)
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126
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ML×1AI×1Stats ML×1
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2026
Multi-Agent Conformal Prediction with Personalized Statistical Validity
The paper proposes Personalized Federated Weighted Conformal Prediction (PFWCP), a novel framework that ensures statistically valid uncertainty quantification in multi-agent, heterogeneous settings while preserving privacy.
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