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Federated Optimization in Heterogeneous Networks
v1v2v3v4v5 (latest)

Federated Optimization in Heterogeneous Networks

14 December 2018
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
    FedML
ArXiv (abs)PDFHTML

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 1,027 papers shown
Title
Privacy-Preserving Constrained Domain Generalization via Gradient
  Alignment
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment
Chris Xing Tian
Haoliang Li
Yufei Wang
Shiqi Wang
63
4
0
14 May 2021
Clustered Sampling: Low-Variance and Improved Representativity for
  Clients Selection in Federated Learning
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
Yann Fraboni
Richard Vidal
Laetitia Kameni
Marco Lorenzi
FedML
74
195
0
12 May 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning
  Convergence Analysis
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis
Baihe Huang
Xiaoxiao Li
Zhao Song
Xin Yang
FedML
69
16
0
11 May 2021
A Hybrid Architecture for Federated and Centralized Learning
A Hybrid Architecture for Federated and Centralized Learning
Ahmet M. Elbir
Sinem Coleri
Anastasios K. Papazafeiropoulos
P. Kourtessis
Symeon Chatzinotas
FedML
93
35
0
07 May 2021
Personalized Federated Learning by Structured and Unstructured Pruning
  under Data Heterogeneity
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
Saeed Vahidian
Mahdi Morafah
Bill Lin
115
61
0
02 May 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
253
492
0
01 May 2021
Cluster-driven Graph Federated Learning over Multiple Domains
Cluster-driven Graph Federated Learning over Multiple Domains
Debora Caldarola
Massimiliano Mancini
Fabio Galasso
Marco Ciccone
Emanuele Rodolà
Barbara Caputo
FedML
123
85
0
29 Apr 2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution
  Environments
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
Fan Mo
Hamed Haddadi
Kleomenis Katevas
Eduard Marin
Diego Perino
N. Kourtellis
FedML
133
248
0
29 Apr 2021
From Distributed Machine Learning to Federated Learning: A Survey
From Distributed Machine Learning to Federated Learning: A Survey
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedMLOOD
144
262
0
29 Apr 2021
End-to-End Speech Recognition from Federated Acoustic Models
End-to-End Speech Recognition from Federated Acoustic Models
Yan Gao
Titouan Parcollet
Salah Zaiem
Javier Fernandez-Marques
Pedro Porto Buarque de Gusmão
Daniel J. Beutel
Nicholas D. Lane
90
44
0
29 Apr 2021
Multi-resource allocation for federated settings: A non-homogeneous Markov chain model
Syed Eqbal Alam
Fabian R. Wirth
Jia Yuan Yu
19
0
0
26 Apr 2021
Decentralized Federated Averaging
Decentralized Federated Averaging
Tao Sun
Dongsheng Li
Bao Wang
FedML
96
217
0
23 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional
  Medical Image Segmentation
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
Yingda Xia
Dong Yang
Wenqi Li
Andriy Myronenko
Daguang Xu
...
Elvira Stellato
G. Carrafiello
A. Ierardi
Alan Yuille
H. Roth
OODFedML
106
46
0
20 Apr 2021
FedNLP: Benchmarking Federated Learning Methods for Natural Language
  Processing Tasks
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks
Bill Yuchen Lin
Chaoyang He
ZiHang Zeng
Hulin Wang
Yufen Huang
Christophe Dupuy
Rahul Gupta
Mahdi Soltanolkotabi
Xiang Ren
Salman Avestimehr
FedML
88
116
0
18 Apr 2021
CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework
CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework
Yu Zhang
Moming Duan
Duo Liu
Li Li
Ao Ren
Xianzhang Chen
Yujuan Tan
Chengliang Wang
FedML
60
37
0
16 Apr 2021
FedSAE: A Novel Self-Adaptive Federated Learning Framework in
  Heterogeneous Systems
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems
Li Li
Moming Duan
Duo Liu
Yu Zhang
Ao Ren
Xianzhang Chen
Yujuan Tan
Chengliang Wang
FedML
79
43
0
15 Apr 2021
D-Cliques: Compensating for Data Heterogeneity with Topology in
  Decentralized Federated Learning
D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning
A. Bellet
Anne-Marie Kermarrec
Erick Lavoie
FedML
81
22
0
15 Apr 2021
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing
  in the Agri-Food Sector
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
A. Durrant
Milan Markovic
David Matthews
David May
J. Enright
Georgios Leontidis
FedML
72
72
0
14 Apr 2021
On-device Federated Learning with Flower
On-device Federated Learning with Flower
Akhil Mathur
Daniel J. Beutel
Pedro Porto Buarque de Gusmão
Javier Fernandez-Marques
Taner Topal
Xinchi Qiu
Titouan Parcollet
Yan Gao
Nicholas D. Lane
FedML
94
38
0
07 Apr 2021
FedFace: Collaborative Learning of Face Recognition Model
FedFace: Collaborative Learning of Face Recognition Model
Divyansh Aggarwal
Jiayu Zhou
Anil K. Jain
FedML
72
62
0
07 Apr 2021
Federated Few-Shot Learning with Adversarial Learning
Federated Few-Shot Learning with Adversarial Learning
Chenyou Fan
Jianwei Huang
FedML
78
30
0
01 Apr 2021
Model-Contrastive Federated Learning
Model-Contrastive Federated Learning
Qinbin Li
Bingsheng He
Basel Alomair
FedML
128
1,057
0
30 Mar 2021
Federated Learning with Taskonomy for Non-IID Data
Federated Learning with Taskonomy for Non-IID Data
Hadi Jamali Rad
Mohammad Abdizadeh
Anuj Singh
FedML
102
55
0
29 Mar 2021
FedCor: Correlation-Based Active Client Selection Strategy for
  Heterogeneous Federated Learning
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
Minxue Tang
Xuefei Ning
Yitu Wang
Jingwei Sun
Yu Wang
H. Li
Yiran Chen
FedML
89
86
0
24 Mar 2021
Auction Based Clustered Federated Learning in Mobile Edge Computing
  System
Auction Based Clustered Federated Learning in Mobile Edge Computing System
Renhao Lu
Weizhe Zhang
Qiong Li
Xiaoxiong Zhong
A. Vasilakos
FedML
61
10
0
12 Mar 2021
Convergence and Accuracy Trade-Offs in Federated Learning and
  Meta-Learning
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
Zachary B. Charles
Jakub Konecný
FedML
103
64
0
08 Mar 2021
Provably Efficient Cooperative Multi-Agent Reinforcement Learning with
  Function Approximation
Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation
Abhimanyu Dubey
Alex Pentland
78
26
0
08 Mar 2021
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
T. Bdair
Nassir Navab
Shadi Albarqouni
FedML
98
13
0
05 Mar 2021
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex
  Federated Composite Optimization
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
Quoc Tran-Dinh
Nhan H. Pham
Dzung Phan
Lam M. Nguyen
FedML
113
42
0
05 Mar 2021
Evaluation and Optimization of Distributed Machine Learning Techniques
  for Internet of Things
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Yansong Gao
Minki Kim
Chandra Thapa
Sharif Abuadbba
Zhi-Li Zhang
S. Çamtepe
Hyoungshick Kim
Surya Nepal
72
63
0
03 Mar 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID data
Cross-Gradient Aggregation for Decentralized Learning from Non-IID data
Yasaman Esfandiari
Sin Yong Tan
Zhanhong Jiang
Aditya Balu
Ethan Herron
Chinmay Hegde
Soumik Sarkar
OOD
155
52
0
02 Mar 2021
Privacy Amplification for Federated Learning via User Sampling and
  Wireless Aggregation
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation
Mohamed Seif
Wei-Ting Chang
Ravi Tandon
FedML
110
46
0
02 Mar 2021
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous
  Federated Learning
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning
Hyun-Suk Lee
Jang-Won Lee
139
55
0
02 Mar 2021
Adversarial training in communication constrained federated learning
Adversarial training in communication constrained federated learning
Devansh Shah
Parijat Dube
Supriyo Chakraborty
Ashish Verma
FedML
106
34
0
01 Mar 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedMLAI4CE
339
883
0
01 Mar 2021
Heterogeneity for the Win: One-Shot Federated Clustering
Heterogeneity for the Win: One-Shot Federated Clustering
D. Dennis
Tian Li
Virginia Smith
FedML
140
151
0
01 Mar 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
301
275
0
26 Feb 2021
Local Stochastic Gradient Descent Ascent: Convergence Analysis and
  Communication Efficiency
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency
Yuyang Deng
M. Mahdavi
107
61
0
25 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
156
78
0
25 Feb 2021
Distributionally Robust Federated Averaging
Distributionally Robust Federated Averaging
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
68
143
0
25 Feb 2021
QuPeL: Quantized Personalization with Applications to Federated Learning
QuPeL: Quantized Personalization with Applications to Federated Learning
Kaan Ozkara
Navjot Singh
Deepesh Data
Suhas Diggavi
FedML
63
5
0
23 Feb 2021
Federated $f$-Differential Privacy
Federated fff-Differential Privacy
Qinqing Zheng
Shuxiao Chen
Qi Long
Weijie J. Su
FedML
149
55
0
22 Feb 2021
Scaling Neuroscience Research using Federated Learning
Scaling Neuroscience Research using Federated Learning
Dimitris Stripelis
J. Ambite
Pradeep Lam
Paul M. Thompson
FedML
101
30
0
16 Feb 2021
A Federated Data-Driven Evolutionary Algorithm
A Federated Data-Driven Evolutionary Algorithm
Jinjin Xu
Yaochu Jin
W. Du
Sai Gu
FedML
110
38
0
16 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OODFedML
291
830
0
15 Feb 2021
On the Impact of Device and Behavioral Heterogeneity in Federated
  Learning
On the Impact of Device and Behavioral Heterogeneity in Federated Learning
A. Abdelmoniem
Chen-Yu Ho
Pantelis Papageorgiou
Muhammad Bilal
Marco Canini
FedML
59
18
0
15 Feb 2021
A New Look and Convergence Rate of Federated Multi-Task Learning with
  Laplacian Regularization
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization
Canh T. Dinh
Thanh Tung Vu
N. H. Tran
Minh N. Dao
Hongyu Zhang
FedML
127
43
0
14 Feb 2021
Exploiting Shared Representations for Personalized Federated Learning
Exploiting Shared Representations for Personalized Federated Learning
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedMLOOD
105
736
0
14 Feb 2021
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with
  Delayed Gradients
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients
Xingyu Li
Zhe Qu
Bo Tang
Zhuo Lu
FedML
117
32
0
12 Feb 2021
Robust Federated Learning with Attack-Adaptive Aggregation
Robust Federated Learning with Attack-Adaptive Aggregation
Ching Pui Wan
Qifeng Chen
OODFedML
83
31
0
10 Feb 2021
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