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Flower: A Friendly Federated Learning Research Framework

Flower: A Friendly Federated Learning Research Framework

28 July 2020
Daniel J. Beutel
Taner Topal
Akhil Mathur
Xinchi Qiu
Javier Fernandez-Marques
Yan Gao
Lorenzo Sani
Kwing Hei Li
Titouan Parcollet
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
    FedML
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Papers citing "Flower: A Friendly Federated Learning Research Framework"

48 / 48 papers shown
Title
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
Yiwei Zhang
R. Behnia
A. Yavuz
Reza Ebrahimi
E. Bertino
FedML
66
0
0
09 May 2025
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections
Max Kirchner
Alexander C. Jenke
S. Bodenstedt
Fiona Kolbinger
Oliver Saldanha
Jakob N. Kather
M. Wagner
Stefanie Speidel
FedML
MedIm
88
1
0
23 Apr 2025
An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning
An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning
Panagiotis Kakosimos
Alireza Nemat Saberi
Luca Peretti
AI4CE
97
0
0
23 Apr 2025
InFL-UX: A Toolkit for Web-Based Interactive Federated Learning
InFL-UX: A Toolkit for Web-Based Interactive Federated Learning
Tim Maurer
Abdulrahman Mohamed Selim
Hasan Md Tusfiqur Alam
Matthias Eiletz
Michael Barz
Daniel Sonntag
FedML
70
0
0
06 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
Leming Shen
Qiang Yang
Kaiyan Cui
Yuanqing Zheng
Xiao-Yong Wei
Jianwei Liu
Jinsong Han
FedML
153
11
0
28 Feb 2025
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
F. Stricker
J. A. Peregrina
D. Bermbach
C. Zirpins
FedML
88
0
0
31 Jan 2025
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data
Judith Sáinz-Pardo Díaz
Á. García
86
0
0
28 Jan 2025
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning
Abdulkadir Korkmaz
Praveen Rao
FedML
74
1
0
22 Jan 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
Khaoula Chehbouni
Martine De Cock
Gilles Caporossi
Afaf Taik
Reihaneh Rabbany
G. Farnadi
101
1
0
21 Jan 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
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models
Jincheol Jung
Hongju Jeong
Eui-Nam Huh
139
0
0
18 Dec 2024
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
Siddhant Dutta
Iago Leal de Freitas
Pedro Maciel Xavier
Claudio Miceli de Farias
David E. Bernal Neira
AI4CE
FedML
100
0
0
23 Nov 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Luis M. Lopez-Ramos
Florian Leiser
Aditya Rastogi
Steven Hicks
Inga Strümke
V. Madai
Tobias Budig
Ali Sunyaev
A. Hilbert
108
2
0
07 Nov 2024
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses
Isaac Baglin
Xiatian Zhu
Simon Hadfield
FedML
50
1
0
05 Nov 2024
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
Anastasiya Danilenka
Alireza Furutanpey
Víctor Casamayor Pujol
Boris Sedlak
Anna Lackinger
M. Ganzha
M. Paprzycki
Schahram Dustdar
70
1
0
09 Oct 2024
DEPT: Decoupled Embeddings for Pre-training Language Models
DEPT: Decoupled Embeddings for Pre-training Language Models
Alex Iacob
Lorenzo Sani
Meghdad Kurmanji
William F. Shen
Xinchi Qiu
Dongqi Cai
Yan Gao
Nicholas D. Lane
VLM
398
1
0
07 Oct 2024
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
82
10
0
17 Sep 2024
Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity
Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity
Hao Jian Huang
Bekzod Iskandarov
Mizanur Rahman
FedML
85
1
0
15 Sep 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
Ziru Niu
Hai Dong
•. A. K. Qin
75
2
0
18 Mar 2024
Federated Learning over Connected Modes
Federated Learning over Connected Modes
Dennis Grinwald
Philipp Wiesner
Shinichi Nakajima
FedML
103
0
0
05 Mar 2024
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
Yun-Wei Chu
Dong-Jun Han
Christopher G. Brinton
64
4
0
15 Jan 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
116
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
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Fan Mo
Mohammad Malekzadeh
S. Chatterjee
F. Kawsar
Akhil Mathur
FedML
47
2
0
08 Nov 2022
Deep ConvLSTM with self-attention for human activity decoding using
  wearables
Deep ConvLSTM with self-attention for human activity decoding using wearables
S. Singh
A. Lay-Ekuakille
Deepak Gangwar
M. Sharma
Sukrit Gupta
HAI
32
118
0
02 May 2020
Adaptive Federated Optimization
Adaptive Federated Optimization
Sashank J. Reddi
Zachary B. Charles
Manzil Zaheer
Zachary Garrett
Keith Rush
Jakub Konecný
Sanjiv Kumar
H. B. McMahan
FedML
80
1,417
0
29 Feb 2020
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
200
2,375
0
11 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
115
7,386
0
02 Oct 2019
Privacy-Preserving Bandits
Privacy-Preserving Bandits
Mohammad Malekzadeh
D. Athanasakis
Hamed Haddadi
B. Livshits
55
18
0
10 Sep 2019
Visual Wake Words Dataset
Visual Wake Words Dataset
Aakanksha Chowdhery
Pete Warden
Jonathon Shlens
Andrew G. Howard
Rocky Rhodes
VLM
29
101
0
12 Jun 2019
Fair Resource Allocation in Federated Learning
Fair Resource Allocation in Federated Learning
Tian Li
Maziar Sanjabi
Ahmad Beirami
Virginia Smith
FedML
110
793
0
25 May 2019
Towards Federated Learning at Scale: System Design
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
80
2,652
0
04 Feb 2019
Federated Optimization in Heterogeneous Networks
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
83
5,105
0
14 Dec 2018
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
96
1,410
0
03 Dec 2018
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
244
1,044
0
29 Nov 2018
A generic framework for privacy preserving deep learning
A generic framework for privacy preserving deep learning
Wenbo Guo
Yunzhe Tao
Morten Dahl
Sui Huang
Masashi Sugiyama
Daniel Rueckert
Lin Lin
FedML
56
435
0
09 Nov 2018
Federated Learning for Mobile Keyboard Prediction
Federated Learning for Mobile Keyboard Prediction
Andrew Straiton Hard
Kanishka Rao
Zhifeng Lin
Swaroop Indra Ramaswamy
Youjie Li
S. Augenstein
Alex Schwing
M. Annavaram
A. Avestimehr
FedML
103
1,525
0
08 Nov 2018
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks
K. Chahal
Manraj Singh Grover
Kuntal Dey
3DH
OOD
40
53
0
28 Oct 2018
Highly Scalable Deep Learning Training System with Mixed-Precision:
  Training ImageNet in Four Minutes
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
Xianyan Jia
Shutao Song
W. He
Yangzihao Wang
Haidong Rong
...
Li Yu
Tiegang Chen
Guangxiao Hu
Shaoshuai Shi
Xiaowen Chu
35
383
0
30 Jul 2018
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Josh Fromm
Shwetak N. Patel
Matthai Philipose
MQ
34
27
0
25 May 2018
Horovod: fast and easy distributed deep learning in TensorFlow
Horovod: fast and easy distributed deep learning in TensorFlow
Alexander Sergeev
Mike Del Balso
54
1,217
0
15 Feb 2018
Ray: A Distributed Framework for Emerging AI Applications
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
56
1,241
0
16 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
127
8,807
0
25 Aug 2017
Federated Multi-Task Learning
Federated Multi-Task Learning
Virginia Smith
Chao-Kai Chiang
Maziar Sanjabi
Ameet Talwalkar
FedML
83
1,791
0
30 May 2017
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
160
6,049
0
01 Jul 2016
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
317
18,300
0
27 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
226
17,235
0
17 Feb 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
978
39,383
0
01 Sep 2014
1