When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions

When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions

27 June 2023

Papers citing "When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions"

16 / 66 papers shown

Title
A Pathway Towards Responsible AI Generated Content Chen Chen Jie Fu Lingjuan Lyu 10 58 0 02 Mar 2023
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling Junyuan Hong Lingjuan Lyu Jiayu Zhou Michael Spranger SyDa 6 6 0 23 Oct 2022
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks Xuanli He Qiongkai Xu Yi Zeng Lingjuan Lyu Fangzhao Wu Jiwei Li R. Jia WaLM 128 53 0 19 Sep 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness Chen Chen Yuchen Liu Xingjun Ma Lingjuan Lyu FedML 113 23 0 30 May 2022
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 37 20 0 24 May 2022
IDEAL: Query-Efficient Data-Free Learning from Black-box Models Jie M. Zhang Chen Chen Lingjuan Lyu 19 11 0 23 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 44 29 0 22 May 2022
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark Xuanli He Qiongkai Xu Lingjuan Lyu Fangzhao Wu Chenguang Wang WaLM 128 76 0 05 Dec 2021
Papaya: Practical, Private, and Scalable Federated Learning Dzmitry Huba John Nguyen Kshitiz Malik Ruiyu Zhu Michael G. Rabbat ... H. Srinivas Kaikai Wang Anthony Shoumikhin Jesik Min Mani Malek FedML 68 108 0 08 Nov 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 252 2,999 0 18 Apr 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 142 604 0 01 Mar 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 226 3,790 0 24 Feb 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 128 244 0 07 Dec 2020
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 74 105 0 24 Oct 2020
Performance Optimization for Federated Person Re-identification via Benchmark Analysis Weiming Zhuang Yonggang Wen Xuesen Zhang Xin Gan Daiying Yin Dongzhan Zhou Shuai Zhang Shuai Yi FedML 33 83 0 26 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 130 465 0 27 Jul 2020