Reaching Data Confidentiality and Model Accountability on the CalTrain

7 December 2018

Papers citing "Reaching Data Confidentiality and Model Accountability on the CalTrain"

4 / 4 papers shown

Title
Separation of Powers in Federated Learning P. Cheng Kevin Eykholt Zhongshu Gu Hani Jamjoom K.R. Jayaram Enriquillo Valdez Ashish Verma FedML 59 13 0 19 May 2021
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art Ahmed Imteaj Urmish Thakker Shiqiang Wang Jian Li M. Amini 72 62 0 25 Feb 2020
Attack-Resistant Federated Learning with Residual-based Reweighting Shuhao Fu Chulin Xie Yue Liu Qifeng Chen FedML AAML 103 93 0 24 Dec 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 130 1,009 0 23 Jul 2019