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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"

50 / 117 papers shown

Title
Federated Learning with Matched Averaging Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 121 1,127 0 15 Feb 2020
Wireless Federated Learning with Local Differential Privacy Mohamed Seif Ravi Tandon Ming Li 105 171 0 12 Feb 2020
Multi-Participant Multi-Class Vertical Federated Learning Siwei Feng Han Yu FedML 66 88 0 30 Jan 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning Yang Liu Anbu Huang Yu Luo He Huang Youzhi Liu Yuanyuan Chen Lican Feng Tianjian Chen Hang Yu Qiang Yang FedML 162 301 0 17 Jan 2020
iDLG: Improved Deep Leakage from Gradients Bo Zhao Konda Reddy Mopuri Hakan Bilen FedML 66 637 0 08 Jan 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 115 658 0 31 Dec 2019
A Survey on Distributed Machine Learning Joost Verbraeken Matthijs Wolting Jonathan Katzy Jeroen Kloppenburg Tim Verbelen Jan S. Rellermeyer OOD 100 708 0 20 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 259 6,276 0 10 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 94 840 0 02 Dec 2019
Free-riders in Federated Learning: Attacks and Defenses Jierui Lin Min Du Jian-Dong Liu FedML 63 113 0 28 Nov 2019
SecureGBM: Secure Multi-Party Gradient Boosting Zhi Feng Haoyi Xiong Chuanyuan Song Sijia Yang Baoxin Zhao Licheng Wang Zeyu Chen Shengwen Yang Liping Liu Jun Huan FedML 45 52 0 27 Nov 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 103 1,120 0 26 Nov 2019
Can You Really Backdoor Federated Learning? Ziteng Sun Peter Kairouz A. Suresh H. B. McMahan FedML 75 574 0 18 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 125 1,616 0 01 Nov 2019
Abnormal Client Behavior Detection in Federated Learning Suyi Li Yong Cheng Yang Liu Wei Wang Tianjian Chen AAML 51 134 0 22 Oct 2019
Federated Generative Privacy Aleksei Triastcyn Boi Faltings FedML 38 63 0 18 Oct 2019
Quantification of the Leakage in Federated Learning Zhaorui Li Zhicong Huang Chaochao Chen Cheng Hong FedML PILM 53 22 0 12 Oct 2019
Central Server Free Federated Learning over Single-sided Trust Social Networks Chaoyang He Conghui Tan Hanlin Tang Shuang Qiu Ji Liu FedML 47 75 0 11 Oct 2019
Towards Federated Graph Learning for Collaborative Financial Crimes Detection Toyotaro Suzumura Yi Zhou Natahalie Barcardo Guangann Ye Keith Houck ... Yuji Watanabe Pablo S. Loyola Daniel Klyashtorny Heiko Ludwig Kumar Bhaskaran FedML 61 72 0 19 Sep 2019
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging Luis Muñoz-González Kenneth T. Co Emil C. Lupu FedML 70 183 0 11 Sep 2019
Hierarchical Federated Learning Across Heterogeneous Cellular Networks Mehdi Salehi Heydar Abad Emre Ozfatura Deniz Gunduz Ozgur Ercetin FedML 133 311 0 05 Sep 2019
Imbalance Problems in Object Detection: A Review Kemal Oksuz Baris Can Cam Sinan Kalkan Emre Akbas ObjD 112 465 0 31 Aug 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 123 4,530 0 21 Aug 2019
Decentralized Federated Learning: A Segmented Gossip Approach Chenghao Hu Jingyan Jiang Zhi Wang FedML 51 186 0 21 Aug 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 109 1,001 0 23 Jul 2019
Bayesian Nonparametric Federated Learning of Neural Networks Mikhail Yurochkin Mayank Agarwal S. Ghosh Kristjan Greenewald T. Hoang Y. Khazaeni FedML 129 730 0 28 May 2019
Fair Resource Allocation in Federated Learning Tian Li Maziar Sanjabi Ahmad Beirami Virginia Smith FedML 182 804 0 25 May 2019
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling Jianyu Wang Anit Kumar Sahu Zhouyi Yang Gauri Joshi S. Kar 68 163 0 23 May 2019
Client-Edge-Cloud Hierarchical Federated Learning Lumin Liu Jun Zhang S. H. Song Khaled B. Letaief FedML 82 745 0 16 May 2019
Interpret Federated Learning with Shapley Values Guan Wang FAtt FedML 61 91 0 11 May 2019
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation Y. Chen Xiaoyan Sun Yaochu Jin FedML 68 444 0 18 Mar 2019
Communication-efficient distributed SGD with Sketching Nikita Ivkin D. Rothchild Enayat Ullah Vladimir Braverman Ion Stoica R. Arora FedML 46 200 0 12 Mar 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 75 2,318 0 13 Feb 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 124 2,670 0 04 Feb 2019
Compressing Gradient Optimizers via Count-Sketches Ryan Spring Anastasios Kyrillidis Vijai Mohan Anshumali Shrivastava 37 36 0 01 Feb 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 136 936 0 01 Feb 2019
Peer-to-peer Federated Learning on Graphs Anusha Lalitha O. Kilinc T. Javidi F. Koushanfar OOD FedML 109 186 0 31 Jan 2019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes Sai Praneeth Karimireddy Quentin Rebjock Sebastian U. Stich Martin Jaggi 66 502 0 28 Jan 2019
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements S. Caldas Jakub Konecný H. B. McMahan Ameet Talwalkar 71 450 0 18 Dec 2018
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 180 5,208 0 14 Dec 2018
A Hybrid Approach to Privacy-Preserving Federated Learning Stacey Truex Nathalie Baracaldo Ali Anwar Thomas Steinke Heiko Ludwig Rui Zhang Yi Zhou FedML 59 899 0 07 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 149 1,422 0 03 Dec 2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Peng Kuang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi FedML 84 786 0 03 Dec 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 286 1,057 0 29 Nov 2018
Stochastic Gradient Push for Distributed Deep Learning Mahmoud Assran Nicolas Loizou Nicolas Ballas Michael G. Rabbat 79 348 0 27 Nov 2018
A generic framework for privacy preserving deep learning Wenbo Guo Yunzhe Tao Morten Dahl Sui Huang Masashi Sugiyama Daniel Rueckert Lin Lin FedML 104 437 0 09 Nov 2018
Sparsified SGD with Memory Sebastian U. Stich Jean-Baptiste Cordonnier Martin Jaggi 77 754 0 20 Sep 2018
Mitigating Sybils in Federated Learning Poisoning Clement Fung Chris J. M. Yoon Ivan Beschastnikh AAML 58 504 0 14 Aug 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 97 1,922 0 02 Jul 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 95 1,862 0 31 May 2018