Robust Aggregation for Federated Learning

Robust Aggregation for Federated Learning

31 December 2019

Krishna Pillutla

Zaïd Harchaoui

Papers citing "Robust Aggregation for Federated Learning"

19 / 269 papers shown

Title
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning Sai Praneeth Karimireddy Martin Jaggi Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 18 214 0 08 Aug 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 162 563 0 27 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 40 83 0 22 Jul 2020
Incentives for Federated Learning: a Hypothesis Elicitation Approach Yang Liu Jiaheng Wei FedML 16 21 0 21 Jul 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 6 585 0 09 Jul 2020
Defending against Backdoors in Federated Learning with Robust Learning Rate Mustafa Safa Ozdayi Murat Kantarcioglu Yulia R. Gel FedML 12 163 0 07 Jul 2020
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing Sai Praneeth Karimireddy Lie He Martin Jaggi FedML OOD 6 136 0 16 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 6 964 0 16 Jun 2020
Robust Federated Recommendation System Chen Chen Jingfeng Zhang A. Tung Mohan S. Kankanhalli Gang Chen FedML 28 26 0 15 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data Chengxu Yang Qipeng Wang Mengwei Xu Shangguang Wang Kaigui Bian Yunxin Liu Xuanzhe Liu 6 22 0 12 Jun 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 8 58 0 08 Jun 2020
Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data G. Lee S. Shin OOD 14 2 0 24 May 2020
Towards Federated Learning With Byzantine-Robust Client Weighting Amit Portnoy Yoav Tirosh Danny Hendler FedML 14 11 0 10 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 45 49 0 01 Apr 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 183 541 0 30 Mar 2020
Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang Wu-Jun Li FedML 14 5 0 02 Mar 2020
Device Heterogeneity in Federated Learning: A Superquantile Approach Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 19 22 0 25 Feb 2020
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 13 6,039 0 10 Dec 2019
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 60 317 0 18 Feb 2014