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FedLesScan: Mitigating Stragglers in Serverless Federated Learning

10 November 2022

Papers citing "FedLesScan: Mitigating Stragglers in Serverless Federated Learning"

22 / 22 papers shown

Title
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients Zaixi Zhang Xiaoyu Cao Jin Jia Neil Zhenqiang Gong AAML FedML 77 224 0 19 Jul 2022
SLAM: SLO-Aware Memory Optimization for Serverless Applications Gor Safaryan Anshul Jindal Mohak Chadha Michael Gerndt 57 19 0 13 Jul 2022
Adaptive Aggregation For Federated Learning K.R. Jayaram Vinod Muthusamy Gegi Thomas Ashish Verma Mark Purcell FedML 89 18 0 23 Mar 2022
FedLess: Secure and Scalable Federated Learning Using Serverless Computing Andreas Grafberger Mohak Chadha Anshul Jindal Jianfeng Gu Michael Gerndt 88 52 0 05 Nov 2021
Towards Demystifying Intra-Function Parallelism in Serverless Computing M. Kiener Mohak Chadha Michael Gerndt 59 15 0 22 Oct 2021
Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions Mohak Chadha Anshul Jindal Michael Gerndt 60 22 0 21 Jul 2021
Towards Demystifying Serverless Machine Learning Training Jiawei Jiang Shaoduo Gan Yue Liu Fanlin Wang Gustavo Alonso Ana Klimovic Ankit Singla Wentao Wu Ce Zhang 65 125 0 17 May 2021
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication Muah Kim Onur Gunlu Rafael F. Schaefer FedML 163 120 0 09 Feb 2021
Benchmarking, Analysis, and Optimization of Serverless Function Snapshots Dmitrii Ustiugov Plamen Petrov Marios Kogias Edouard Bugnion Boris Grot 99 178 0 16 Jan 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 114 224 0 14 Jan 2021
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers Zheng Chai Yujing Chen Ali Anwar Liang Zhao Yue Cheng Huzefa Rangwala FedML 62 124 0 12 Oct 2020
Flower: A Friendly Federated Learning Research Framework Daniel J. Beutel Taner Topal Akhil Mathur Xinchi Qiu Javier Fernandez-Marques ... Lorenzo Sani Kwing Hei Li Titouan Parcollet Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 140 820 0 28 Jul 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 123 664 0 16 Jul 2020
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction Georgios Damaskinos R. Guerraoui Anne-Marie Kermarrec Vlad Nitu Rhicheek Patra Francois Taiani 87 55 0 12 Jun 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 117 226 0 01 Feb 2020
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 129 1,628 0 01 Nov 2019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead A. Masullo Ligang He Toby Perrett Rui Mao Carsten Maple Majid Mirmehdi 97 316 0 03 Oct 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 128 2,676 0 04 Feb 2019
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 158 1,424 0 03 Dec 2018
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 110 1,269 0 16 Dec 2017
Occupy the Cloud: Distributed Computing for the 99% Eric Jonas Qifan Pu Shivaram Venkataraman Ion Stoica Benjamin Recht 61 504 0 13 Feb 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 435 18,361 0 27 May 2016