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Byzantine-Robust Federated RAG via Aligned Calibration and Fixed-Membership Conformal Prediction
Retrieval-augmented generation (RAG) lets language models answer questions more accurately by consulting relevant documents. Many valuable collections, such as medical records, cannot be pooled because of privacy rules. Federated RAG leaves each collection with its owner, or node, which scores candi
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