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cs.CR2026
FedPix: Learning What to Share with Less Leakage in Federated Intelligence
Jingwei Zhao, Tiantong Sun, Yuanyuan Song +7
Existing federated intelligence paradigms primarily focus on how models are trained or aggregated, while overlooking a more fundamental question: \textbf{what information should le…
cs.CR2024
No Free Lunch Theorem for Privacy-Preserving LLM Inference
Xiaojin Zhang, Yahao Pang, Yan Kang +4
Individuals and businesses have been significantly benefited by Large Language Models (LLMs) including PaLM, Gemini and ChatGPT in various ways. For example, LLMs enhance productiv…