Robust and Communication-Efficient Federated Learning from Non-IID Data

Robust and Communication-Efficient Federated Learning from Non-IID Data

7 March 2019

Simon Wiedemann

Papers citing "Robust and Communication-Efficient Federated Learning from Non-IID Data"

17 / 467 papers shown

Title
Overcoming Forgetting in Federated Learning on Non-IID Data N. Shoham Tomer Avidor Aviv Keren Nadav Tal-Israel Daniel Benditkis Liron Mor Yosef Itai Zeitak CLL FedML 23 217 0 17 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 40 965 0 04 Oct 2019
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey Renjie Gu Chaoyue Niu Fan Wu Guihai Chen Chun Hu Chengfei Lyu Zhihua Wu 25 25 0 18 Sep 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 6 1,111 0 13 Sep 2019
Hierarchical Federated Learning Across Heterogeneous Cellular Networks Mehdi Salehi Heydar Abad Emre Ozfatura Deniz Gunduz Ozgur Ercetin FedML 22 308 0 05 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 22 4,414 0 21 Aug 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 41 92 0 27 Jul 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Q. Li Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 32 968 0 23 Jul 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 35 2,278 0 04 Jul 2019
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications Moming Duan Duo Liu Xianzhang Chen Yujuan Tan Jinting Ren Lei Qiao Liang Liang FedML 8 193 0 02 Jul 2019
Robust Federated Learning in a Heterogeneous Environment Avishek Ghosh Justin Hong Dong Yin K. Ramchandran OOD FedML 14 214 0 16 Jun 2019
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms Xiangyi Chen Tiancong Chen Haoran Sun Zhiwei Steven Wu Mingyi Hong FedML 13 73 0 04 Jun 2019
Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data Naoya Yoshida Takayuki Nishio M. Morikura Koji Yamamoto Ryo Yonetani 24 137 0 17 May 2019
Client-Edge-Cloud Hierarchical Federated Learning Lumin Liu Jun Zhang S. H. Song Khaled B. Letaief FedML 8 727 0 16 May 2019
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek MQ 11 21 0 15 May 2019
Entropy-Constrained Training of Deep Neural Networks Simon Wiedemann Arturo Marbán K. Müller Wojciech Samek 12 27 0 18 Dec 2018
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication Felix Sattler Simon Wiedemann K. Müller Wojciech Samek MQ 11 210 0 22 May 2018