Prompt Public Large Language Models to Synthesize Data for Private
On-device Applications

Prompt Public Large Language Models to Synthesize Data for Private On-device Applications

5 April 2024

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Papers citing "Prompt Public Large Language Models to Synthesize Data for Private On-device Applications"

9 / 9 papers shown

Title
Privacy Preserving In-Context-Learning Framework for Large Language Models Bishnu Bhusal Manoj Acharya R. Kaur Colin Samplawski Anirban Roy Adam D. Cobb Rohit Chadha Susmit Jha SyDa 320 0 0 17 Sep 2025
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions Daniel Gutiérrez Yelizaveta Falkouskaya Jose L. Hernandez-Ramos Aris Anagnostopoulos I. Chatzigiannakis A. Vitaletti FedML 120 2 0 19 Aug 2025
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Yanxiang Zhang Zheng Xu Shanshan Wu Yuanbo Zhang Daniel Ramage KELM 138 2 0 24 May 2025
POPri: Private Federated Learning using Preference-Optimized Synthetic Data Charlie Hou Mei-Yu Wang Yige Zhu Daniel Lazar Giulia Fanti FedML 488 7 0 23 Apr 2025
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs Bowen Tan Zheng Xu Eric P. Xing Zhiting Hu Shanshan Wu SyDa 350 8 0 16 Mar 2025
Data-adaptive Differentially Private Prompt Synthesis for In-Context LearningInternational Conference on Learning Representations (ICLR), 2024 Fengyu Gao Ruida Zhou T. Wang Cong Shen Jing Yang 257 5 0 15 Oct 2024
Federated Learning in Practice: Reflections and ProjectionsInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024 Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 292 28 0 11 Oct 2024
Federated Large Language Models: Current Progress and Future Directions Yuhang Yao Jianyi Zhang Junda Wu Chengkai Huang Yu Xia ... Ang Li L. Yao Julian McAuley Yiran Chen Carlee Joe-Wong FedML AIFin 441 18 0 24 Sep 2024
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs H. B. McMahan Zheng Xu Yanxiang Zhang FedML 364 9 0 16 Aug 2024