Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling

23 October 2022

Papers citing "Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling"

28 / 28 papers shown

Title
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 118 93 0 27 Jun 2023
CalFAT: Calibrated Federated Adversarial Training with Label Skewness Chen Chen Yuchen Liu Xingjun Ma Lingjuan Lyu FedML 202 32 0 30 May 2022
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization Junyuan Hong Haotao Wang Zhangyang Wang Jiayu Zhou FedML 31 56 0 18 Mar 2022
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Leilei Gan Jingren Zhou Hongxia Yang 52 96 0 11 Nov 2021
Leveraging Public Data for Practical Private Query Release Terrance Liu G. Vietri Thomas Steinke Jonathan R. Ullman Zhiwei Steven Wu 168 58 0 17 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 251 802 0 15 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 223 360 0 07 Dec 2020
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation Jiahua Dong Yang Cong Gan Sun Bineng Zhong Xiaowei Xu 42 138 0 24 Apr 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 140 3,524 0 21 Jan 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data Xi Yan David Acuna Sanja Fidler 86 43 0 09 Jan 2020
Federated Adversarial Domain Adaptation Xingchao Peng Zijun Huang Yizhe Zhu Kate Saenko FedML 48 269 0 05 Nov 2019
Limits of Private Learning with Access to Public Data N. Alon Raef Bassily Shay Moran 21 48 0 25 Oct 2019
Positive-Unlabeled Compression on the Cloud Yixing Xu Yunhe Wang Hanting Chen Kai Han Chunjing Xu Dacheng Tao Chang Xu 14 56 0 21 Sep 2019
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 109 1,769 0 04 Dec 2018
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 83 694 0 03 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 961 93,936 0 11 Oct 2018
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning Xiaofei Wang Yiwen Han Chenyang Wang Qiyang Zhao Xu Chen Min Chen 35 801 0 19 Sep 2018
Subsampled Rényi Differential Privacy and Analytical Moments Accountant Yu Wang Borja Balle S. Kasiviswanathan 59 397 0 31 Jul 2018
Scalable Private Learning with PATE Nicolas Papernot Shuang Song Ilya Mironov A. Raghunathan Kunal Talwar Ulfar Erlingsson 83 608 0 24 Feb 2018
Deep Private-Feature Extraction S. A. Ossia A. Taheri Ali Shahin Shamsabadi Kleomenis Katevas Hamed Haddadi Hamid R. Rabiee 20 95 0 09 Feb 2018
Renyi Differential Privacy Ilya Mironov 53 1,243 0 24 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 203 4,075 0 18 Oct 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data Nicolas Papernot Martín Abadi Ulfar Erlingsson Ian Goodfellow Kunal Talwar 55 1,012 0 18 Oct 2016
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 168 2,814 0 26 Sep 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 234 17,328 0 17 Feb 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 238 19,523 0 09 Mar 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 212 8,351 0 28 Nov 2014
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 92 1,580 0 27 Jun 2012