Author

Anjie Le

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#machine learning Preprint Aug 2026

Beyond Raw Context Transfer: Representation-based Federated Retrieval-Augmented Generation

Retrieval-augmented generation (RAG) improves the factuality of large language models (LLMs) and vision-language models (VLMs) by grounding generation in external knowledge. However, most existing RAG frameworks assume a centralized retrieval corpus, which is often impractical in sensitive domains such as healthcare, w...

Can Peng, Yu Liu, Ying-Yu Yang et al. · 0 citations

Jul 2026

DECAF: De-Clustering for Adaptive Representational Unlearning

DECAF (DE-Clustering for Adaptive Forgetting), a post-hoc method that operates only on the forget set and is designed to break the cluster, is proposed, which attains performance comparable to that of unlearning methods that use the full training set, while being significantly more efficient.

Anjie Le, Can Peng, Hongcheng Guo et al. · arXiv.org · 0 citations