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Haibing Jin

2 accepted papers

2026

Pisces: Cryptography-based Private Retrieval-Augmented Generation with Dual-Path Retrieval

ICLR 2026poster

Retrieval-augmented generation (RAG) enhances the response quality of large language models (LLMs) when handling domain-specific tasks, yet raises significant privacy concerns. This is because both the user query and documents within the knowledge base often contain sensitive or confidential informa…

Cited by 0SourcecodeScholar
2023

FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability

AAAI 2023technical

While federated learning has shown strong results in opti- mizing a machine learning model without direct access to the original data, its performance may be hindered by in- termittent client availability which slows down the conver- gence and biases the final learned model. There are significant ch…