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FedML: A Research Library and Benchmark for Federated Machine Learning

FedML: A Research Library and Benchmark for Federated Machine Learning

27 July 2020
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
Hongyi Wang
Xiaoyang Sean Wang
Praneeth Vepakomma
Abhishek Singh
Hang Qiu
Xinghua Zhu
Jianzong Wang
Li Shen
P. Zhao
Yan Kang
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
    FedML
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Papers citing "FedML: A Research Library and Benchmark for Federated Machine Learning"

48 / 48 papers shown
Title
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
96
0
0
05 May 2025
An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning
An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning
Yan-Ann Chen
Guan-Lin Chen
FedML
77
0
0
11 Apr 2025
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
Ming-Lun Lee
Han-Chang Chou
Yan-AnnChen
FedML
52
6
0
07 Apr 2025
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis
Ruichen Luo
Sebastian U Stich
Samuel Horváth
Martin Takáč
71
0
0
08 Jan 2025
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Ke Xu
Quyang Pan
Bo Gao
Tian Wen
FedML
39
1
0
03 Jan 2025
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Zilinghan Li
Shilan He
Ze Yang
Minseok Ryu
Kibaek Kim
Ravi K. Madduri
FedML
84
10
0
17 Sep 2024
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Chong Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
118
93
0
27 Jun 2023
FedNoisy: Federated Noisy Label Learning Benchmark
FedNoisy: Federated Noisy Label Learning Benchmark
Siqi Liang
Jintao Huang
Junyuan Hong
Dun Zeng
Jiayu Zhou
Zenglin Xu
FedML
64
7
0
20 Jun 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Quyang Pan
Xue Jiang
Bo Gao
69
32
0
01 Jan 2023
An Operator Splitting View of Federated Learning
An Operator Splitting View of Federated Learning
Saber Malekmohammadi
Kiarash Shaloudegi
Zeou Hu
Yaoliang Yu
FedML
61
2
0
12 Aug 2021
Byzantine-Resilient Secure Federated Learning
Byzantine-Resilient Secure Federated Learning
Jinhyun So
Başak Güler
A. Avestimehr
FedML
45
239
0
21 Jul 2020
Differentially-private Federated Neural Architecture Search
Differentially-private Federated Neural Architecture Search
Ishika Singh
Haoyi Zhou
Kunlin Yang
Mengxiao Ding
Bill Lin
P. Xie
FedML
33
22
0
16 Jun 2020
Robust Federated Recommendation System
Robust Federated Recommendation System
Chen Chen
Jingfeng Zhang
A. Tung
Mohan Kankanhalli
Gang Chen
FedML
58
26
0
15 Jun 2020
Privacy-Preserving Technology to Help Millions of People: Federated
  Prediction Model for Stroke Prevention
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Ce Ju
Ruihui Zhao
Jichao Sun
Xiguang Wei
Bo Zhao
...
Dashan Gao
Ben Tan
Han Yu
Chuning He
Yuan Jin
FedML
OOD
33
33
0
15 Jun 2020
Federated Learning in Vehicular Networks
Federated Learning in Vehicular Networks
Ahmet M. Elbir
Burak Soner
Sinem Coleri
Deniz Gunduz
M. Bennis
48
161
0
02 Jun 2020
Federated Recommendation System via Differential Privacy
Federated Recommendation System via Differential Privacy
Tan Li
Linqi Song
Christina Fragouli
FedML
43
60
0
14 May 2020
Federated Transfer Learning for EEG Signal Classification
Federated Transfer Learning for EEG Signal Classification
Ce Ju
Dashan Gao
R. Mane
Ben Tan
Yang Liu
Cuntai Guan
FedML
19
107
0
26 Apr 2020
Privacy in Deep Learning: A Survey
Privacy in Deep Learning: A Survey
Fatemehsadat Mirshghallah
Mohammadkazem Taram
Praneeth Vepakomma
Abhishek Singh
Ramesh Raskar
H. Esmaeilzadeh
FedML
60
137
0
25 Apr 2020
Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep
  Learning via Neural Architecture Search
Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search
Chaoyang He
M. Annavaram
A. Avestimehr
OOD
FedML
42
87
0
18 Apr 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level
  Reformulation
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
Chaoyang He
Haishan Ye
Li Shen
Tong Zhang
49
129
0
27 Mar 2020
FedNER: Privacy-preserving Medical Named Entity Recognition with
  Federated Learning
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning
Suyu Ge
Fangzhao Wu
Chuhan Wu
Tao Qi
Yongfeng Huang
Xing Xie
185
57
0
20 Mar 2020
Privacy-preserving Traffic Flow Prediction: A Federated Learning
  Approach
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
Yi Liu
James Jianqiao Yu
Jiawen Kang
Dusit Niyato
Shuyu Zhang
AI4TS
54
445
0
19 Mar 2020
Federated Visual Classification with Real-World Data Distribution
Federated Visual Classification with Real-World Data Distribution
T. Hsu
Qi
Matthew Brown
FedML
112
199
0
18 Mar 2020
Acceleration for Compressed Gradient Descent in Distributed and
  Federated Optimization
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
Zhize Li
D. Kovalev
Xun Qian
Peter Richtárik
FedML
AI4CE
76
136
0
26 Feb 2020
FedCoin: A Peer-to-Peer Payment System for Federated Learning
FedCoin: A Peer-to-Peer Payment System for Federated Learning
Yuan Liu
Shuai Sun
Zhengpeng Ai
Shuangfeng Zhang
Zelei Liu
Han Yu
FedML
51
115
0
26 Feb 2020
Federated pretraining and fine tuning of BERT using clinical notes from
  multiple silos
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos
Dianbo Liu
Timothy A. Miller
AI4MH
40
34
0
20 Feb 2020
Robust Aggregation for Federated Learning
Robust Aggregation for Federated Learning
Krishna Pillutla
Sham Kakade
Zaïd Harchaoui
FedML
69
644
0
31 Dec 2019
Parallel Distributed Logistic Regression for Vertical Federated Learning
  without Third-Party Coordinator
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
Shengwen Yang
Bing Ren
Xuhui Zhou
Liping Liu
OOD
FedML
31
132
0
22 Nov 2019
Can You Really Backdoor Federated Learning?
Can You Really Backdoor Federated Learning?
Ziteng Sun
Peter Kairouz
A. Suresh
H. B. McMahan
FedML
58
565
0
18 Nov 2019
FedMD: Heterogenous Federated Learning via Model Distillation
FedMD: Heterogenous Federated Learning via Model Distillation
Daliang Li
Junpu Wang
FedML
75
845
0
08 Oct 2019
Federated Learning of N-gram Language Models
Federated Learning of N-gram Language Models
Mingqing Chen
A. Suresh
Rajiv Mathews
Adeline Wong
Cyril Allauzen
F. Beaufays
Michael Riley
FedML
81
74
0
08 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine Learning
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh
Amar Phanishayee
O. Mutlu
Phillip B. Gibbons
119
563
0
01 Oct 2019
Detailed comparison of communication efficiency of split learning and
  federated learning
Detailed comparison of communication efficiency of split learning and federated learning
Abhishek Singh
Praneeth Vepakomma
O. Gupta
Ramesh Raskar
FedML
43
188
0
18 Sep 2019
Energy Demand Prediction with Federated Learning for Electric Vehicle
  Networks
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
Y. Saputra
D. Hoang
Diep N. Nguyen
E. Dutkiewicz
M. Mueck
S. Srikanteswara
37
194
0
03 Sep 2019
FedHealth: A Federated Transfer Learning Framework for Wearable
  Healthcare
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
Yiqiang Chen
Jindong Wang
Chaohui Yu
Wen Gao
Xin Qin
FedML
60
710
0
22 Jul 2019
Decentralized Bayesian Learning over Graphs
Decentralized Bayesian Learning over Graphs
Anusha Lalitha
Xinghan Wang
O. Kilinc
Y. Lu
T. Javidi
F. Koushanfar
FedML
48
25
0
24 May 2019
Client-Edge-Cloud Hierarchical Federated Learning
Client-Edge-Cloud Hierarchical Federated Learning
Lumin Liu
Jun Zhang
S. H. Song
Khaled B. Letaief
FedML
59
736
0
16 May 2019
Agnostic Federated Learning
Agnostic Federated Learning
M. Mohri
Gary Sivek
A. Suresh
FedML
88
928
0
01 Feb 2019
Federated Collaborative Filtering for Privacy-Preserving Personalized
  Recommendation System
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
Muhammad Ammad-ud-din
E. Ivannikova
Suleiman A. Khan
Were Oyomno
Qiang Fu
K. E. Tan
Adrian Flanagan
FedML
55
270
0
29 Jan 2019
LEAF: A Benchmark for Federated Settings
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
104
1,410
0
03 Dec 2018
Split learning for health: Distributed deep learning without sharing raw
  patient data
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma
O. Gupta
Tristan Swedish
Ramesh Raskar
FedML
83
694
0
03 Dec 2018
MD-GAN: Multi-Discriminator Generative Adversarial Networks for
  Distributed Datasets
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets
Corentin Hardy
Erwan Le Merrer
B. Sericola
GAN
105
181
0
09 Nov 2018
Distributed learning of deep neural network over multiple agents
Distributed learning of deep neural network over multiple agents
O. Gupta
Ramesh Raskar
FedML
OOD
44
602
0
14 Oct 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in
  Federated Learning
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
Tribhuvanesh Orekondy
Seong Joon Oh
Yang Zhang
Bernt Schiele
Mario Fritz
PICV
FedML
381
37
0
15 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning
Exploiting Unintended Feature Leakage in Collaborative Learning
Luca Melis
Congzheng Song
Emiliano De Cristofaro
Vitaly Shmatikov
FedML
128
1,461
0
10 May 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for
  Distributed Training
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Chengyue Wu
Song Han
Huizi Mao
Yu Wang
W. Dally
102
1,394
0
05 Dec 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep
  Learning
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
FedML
107
1,385
0
24 Feb 2017
TensorFlow: A system for large-scale machine learning
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
329
18,300
0
27 May 2016
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