From Distributed Machine Learning to Federated Learning: A Survey

From Distributed Machine Learning to Federated Learning: A Survey

29 April 2021

Haoyi Xiong

Papers citing "From Distributed Machine Learning to Federated Learning: A Survey"

9 / 9 papers shown

Title
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification Chongsheng Zhang Paolo Soda Jingjun Bi Gaojuan Fan G. Almpanidis S. García 16 32 0 01 Sep 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 144 358 0 14 Jul 2021
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 57 94 0 08 Dec 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 141 465 0 27 Jul 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 159 465 0 30 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 143 284 0 19 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 164 392 0 04 Mar 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 158 878 0 29 Nov 2018
Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data Ferhat Ozgur Catak 13 12 0 09 Feb 2016