A Comprehensive Empirical Study of Bugs in Open-Source Federated
Learning Frameworks

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A Comprehensive Empirical Study of Bugs in Open-Source Federated Learning Frameworks

9 August 2023

Lingling Fan

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Papers citing "A Comprehensive Empirical Study of Bugs in Open-Source Federated Learning Frameworks"

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Title
Flame: Simplifying Topology Extension in Federated Learning Harshit Daga Jae-Kwang Shin D. Garg Ada Gavrilovska Myungjin Lee Ramana Rao Kompella AI4CE 71 10 0 09 May 2023
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations Mirian Hipolito Garcia Andre Manoel Daniel Madrigal Diaz Fatemehsadat Mireshghallah Robert Sim Dimitrios Dimitriadis FedML 65 57 0 25 Mar 2022
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning Minseok Ryu Youngdae Kim Kibaek Kim Ravi K. Madduri FedML 72 29 0 08 Feb 2022
FedJAX: Federated learning simulation with JAX Jae Hun Ro A. Suresh Ke Wu FedML 93 49 0 04 Aug 2021
FedLab: A Flexible Federated Learning Framework Dun Zeng Siqi Liang Xiangjing Hu Hui Wang Zenglin Xu FedML 66 115 0 24 Jul 2021
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale Fan Lai Yinwei Dai Sanjay Sri Vallabh Singapuram Jiachen Liu Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML 109 204 0 24 May 2021
OpenFL: An open-source framework for Federated Learning G. A. Reina Alexey Gruzdev Patrick Foley O. Perepelkina Mansi Sharma ... Sarthak Pati Prakash Narayana Moorthy Shih-Han Wang Prashant Shah Spyridon Bakas FedML AIFin 101 111 0 13 May 2021
Scalable federated machine learning with FEDn Morgan Ekmefjord Addi Ait-Mlouk Sadi Alawadi Mattias Åkesson Desislava Stoyanova O. Spjuth Salman Toor Andreas Hellander FedML 56 41 0 27 Feb 2021
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 136 815 0 28 Jul 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 243 577 0 27 Jul 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 187 163 0 22 Jul 2020
Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries Saeid Tizpaz-Niari Pavol Cerný Ashutosh Trivedi 29 24 0 03 Jun 2020
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 105 1,121 0 26 Nov 2019
A Comprehensive Study on Deep Learning Bug Characteristics Md Johirul Islam Giang Nguyen Rangeet Pan Hridesh Rajan ELM 50 304 0 03 Jun 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 126 2,674 0 04 Feb 2019
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 128 739 0 11 Nov 2015