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On the Convergence of FedAvg on Non-IID Data

On the Convergence of FedAvg on Non-IID Data

4 July 2019
Xiang Li
Kaixuan Huang
Wenhao Yang
Shusen Wang
Zhihua Zhang
    FedML
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Papers citing "On the Convergence of FedAvg on Non-IID Data"

50 / 1,086 papers shown
Title
Fine-tuning Global Model via Data-Free Knowledge Distillation for
  Non-IID Federated Learning
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
Lin Zhang
Li Shen
Liang Ding
Dacheng Tao
Ling-Yu Duan
FedML
28
254
0
17 Mar 2022
Private Non-Convex Federated Learning Without a Trusted Server
Private Non-Convex Federated Learning Without a Trusted Server
Andrew Lowy
Ali Ghafelebashi
Meisam Razaviyayn
FedML
36
25
0
13 Mar 2022
Auto-FedRL: Federated Hyperparameter Optimization for
  Multi-institutional Medical Image Segmentation
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
Pengfei Guo
Dong Yang
Ali Hatamizadeh
An Xu
Ziyue Xu
...
F. Patella
Elvira Stellato
G. Carrafiello
Vishal M. Patel
H. Roth
OOD
FedML
28
32
0
12 Mar 2022
FedSyn: Synthetic Data Generation using Federated Learning
FedSyn: Synthetic Data Generation using Federated Learning
Monik R Behera
Sudhir Upadhyay
S. Shetty
S. Priyadarshini
Palka Patel
Ker Farn Lee
FedML
25
13
0
11 Mar 2022
Wireless Quantized Federated Learning: A Joint Computation and
  Communication Design
Wireless Quantized Federated Learning: A Joint Computation and Communication Design
Pavlos S. Bouzinis
P. Diamantoulakis
G. Karagiannidis
MQ
FedML
31
31
0
11 Mar 2022
No Free Lunch Theorem for Security and Utility in Federated Learning
No Free Lunch Theorem for Security and Utility in Federated Learning
Xiaojin Zhang
Hanlin Gu
Lixin Fan
Kai Chen
Qiang Yang
FedML
24
64
0
11 Mar 2022
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Abolfazl Razi
Xiwen Chen
Huayu Li
Hao Wang
Brendan J. Russo
Yan Chen
Hongbin Yu
33
40
0
07 Mar 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local
  Training
Acceleration of Federated Learning with Alleviated Forgetting in Local Training
Chencheng Xu
Zhiwei Hong
Minlie Huang
Tao Jiang
FedML
29
46
0
05 Mar 2022
Towards Efficient and Stable K-Asynchronous Federated Learning with
  Unbounded Stale Gradients on Non-IID Data
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data
Zihao Zhou
Yanan Li
Xuebin Ren
Shusen Yang
28
29
0
02 Mar 2022
Personalized Federated Learning With Graph
Personalized Federated Learning With Graph
Fengwen Chen
Guodong Long
Zonghan Wu
Tianyi Zhou
Jing Jiang
FedML
43
52
0
02 Mar 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in
  Autonomous Driving
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving
Lidia Fantauzzo
Eros Fani
Debora Caldarola
A. Tavera
Fabio Cermelli
Marco Ciccone
Barbara Caputo
FedML
36
52
0
28 Feb 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural
  Architecture Search
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Chunhui Zhang
Xiaoming Yuan
Qianyun Zhang
Guangxu Zhu
Lei Cheng
Ning Zhang
FedML
OOD
26
15
0
23 Feb 2022
FedCAT: Towards Accurate Federated Learning via Device Concatenation
FedCAT: Towards Accurate Federated Learning via Device Concatenation
Ming Hu
Tian Liu
Zhiwei Ling
Zhihao Yue
Mingsong Chen
FedML
24
1
0
23 Feb 2022
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum
F. Malandrino
C. Chiasserini
G. di Giacomo
14
7
0
23 Feb 2022
Interacting Contour Stochastic Gradient Langevin Dynamics
Interacting Contour Stochastic Gradient Langevin Dynamics
Wei Deng
Siqi Liang
Botao Hao
Guang Lin
F. Liang
BDL
43
10
0
20 Feb 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent
Personalized Federated Learning with Exact Stochastic Gradient Descent
Sotirios Nikoloutsopoulos
I. Koutsopoulos
Michalis K. Titsias
FedML
31
9
0
20 Feb 2022
Social Welfare Maximization in Cross-Silo Federated Learning
Social Welfare Maximization in Cross-Silo Federated Learning
Jianan Chen
Qin Hu
Honglu Jiang
FedML
50
8
0
18 Feb 2022
Federated Stochastic Gradient Descent Begets Self-Induced Momentum
Federated Stochastic Gradient Descent Begets Self-Induced Momentum
Howard H. Yang
Zuozhu Liu
Yaru Fu
Tony Q.S. Quek
H. Vincent Poor
FedML
8
5
0
17 Feb 2022
Alliance Makes Difference? Maximizing Social Welfare in Cross-Silo
  Federated Learning
Alliance Makes Difference? Maximizing Social Welfare in Cross-Silo Federated Learning
Jianan Chen
Qin Hu
Honglu Jiang
FedML
30
1
0
16 Feb 2022
Evaluation and Analysis of Different Aggregation and Hyperparameter
  Selection Methods for Federated Brain Tumor Segmentation
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation
Ece Isik Polat
Gorkem Polat
Altan Koçyiğit
A. Temi̇zel
OOD
FedML
22
3
0
16 Feb 2022
Federated Learning with Sparsified Model Perturbation: Improving
  Accuracy under Client-Level Differential Privacy
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy
Rui Hu
Yanmin Gong
Yuanxiong Guo
FedML
27
64
0
15 Feb 2022
On the Convergence of Clustered Federated Learning
On the Convergence of Clustered Federated Learning
Ma Jie
Guodong Long
Dinesh Manocha
Jing Jiang
Chengqi Zhang
FedML
39
46
0
13 Feb 2022
PPA: Preference Profiling Attack Against Federated Learning
PPA: Preference Profiling Attack Against Federated Learning
Chunyi Zhou
Yansong Gao
Anmin Fu
Kai Chen
Zhiyang Dai
Zhi-Li Zhang
Minhui Xue
Yuqing Zhang
AAML
25
22
0
10 Feb 2022
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection
Yuxi Mi
Yiheng Sun
Jihong Guan
Shuigeng Zhou
AAML
FedML
16
1
0
09 Feb 2022
An Improved Analysis of Gradient Tracking for Decentralized Machine
  Learning
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
Anastasia Koloskova
Tao R. Lin
Sebastian U. Stich
22
106
0
08 Feb 2022
Addressing modern and practical challenges in machine learning: A survey
  of online federated and transfer learning
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning
Shuang Dai
Fanlin Meng
FedML
OnRL
40
21
0
07 Feb 2022
Proportional Fairness in Federated Learning
Proportional Fairness in Federated Learning
Guojun Zhang
Saber Malekmohammadi
Xi Chen
Yaoliang Yu
FedML
30
24
0
03 Feb 2022
Data Heterogeneity-Robust Federated Learning via Group Client Selection
  in Industrial IoT
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT
Zonghang Li
Yihong He
Hongfang Yu
Jiawen Kang
Xiaoping Li
Zenglin Xu
Dusit Niyato
FedML
16
92
0
03 Feb 2022
Communication Efficient Federated Learning for Generalized Linear
  Bandits
Communication Efficient Federated Learning for Generalized Linear Bandits
Chuanhao Li
Hongning Wang
FedML
28
13
0
02 Feb 2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for
  Federated Learning
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning
J. Ahn
Yeeun Ma
Seoyun Park
Cheolwoo You
FedML
45
22
0
01 Feb 2022
Faster Convergence of Local SGD for Over-Parameterized Models
Faster Convergence of Local SGD for Over-Parameterized Models
Tiancheng Qin
S. Rasoul Etesami
César A. Uribe
FedML
38
6
0
30 Jan 2022
FedGCN: Convergence-Communication Tradeoffs in Federated Training of
  Graph Convolutional Networks
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
Yuhang Yao
Weizhao Jin
Srivatsan Ravi
Carlee Joe-Wong
GNN
FedML
60
19
0
28 Jan 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary
  Adaptive Online Model Pruning
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
FedML
32
6
0
27 Jan 2022
A dual approach for federated learning
A dual approach for federated learning
Zhenan Fan
Huang Fang
M. Friedlander
FedML
18
3
0
26 Jan 2022
Fast Server Learning Rate Tuning for Coded Federated Dropout
Fast Server Learning Rate Tuning for Coded Federated Dropout
Giacomo Verardo
Daniela F. Barreira
Marco Chiesa
Dejan Kostić
Gerald Q. Maguire Jr
FedML
32
1
0
26 Jan 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained
  Superclients
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients
Riccardo Zaccone
Andrea Rizzardi
Debora Caldarola
Marco Ciccone
Barbara Caputo
FedML
58
14
0
26 Jan 2022
Communication-Efficient Stochastic Zeroth-Order Optimization for
  Federated Learning
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning
Wenzhi Fang
Ziyi Yu
Yuning Jiang
Yuanming Shi
Colin N. Jones
Yong Zhou
FedML
78
57
0
24 Jan 2022
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme
  Model Personalization in Recommender Systems
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems
Renjie Gu
Chaoyue Niu
Yikai Yan
Fan Wu
Shaojie Tang
Rongfeng Jia
Chengfei Lyu
Guihai Chen
22
9
0
24 Jan 2022
Communication-Efficient Device Scheduling for Federated Learning Using
  Stochastic Optimization
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization
Jake B. Perazzone
Shiqiang Wang
Mingyue Ji
Kevin S. Chan
FedML
21
73
0
19 Jan 2022
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection
Guangyuan Shen
D. Gao
Libin Yang
Fang Zhou
Duanxiao Song
Wei Lou
Shirui Pan
FedML
19
8
0
15 Jan 2022
Demystifying Swarm Learning: A New Paradigm of Blockchain-based
  Decentralized Federated Learning
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning
Jialiang Han
Y. Ma
Yudong Han
53
15
0
14 Jan 2022
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack
Yongkang Wang
Dihua Zhai
Yufeng Zhan
Yuanqing Xia
FedML
AAML
28
14
0
11 Jan 2022
Communication-Efficient Federated Learning with Accelerated Client
  Gradient
Communication-Efficient Federated Learning with Accelerated Client Gradient
Geeho Kim
Jinkyu Kim
Bohyung Han
FedML
40
11
0
10 Jan 2022
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player
  Generative Adversarial Networks
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks
Zhenyuan Zhang
Tao Shen
Jie M. Zhang
Chao-Xiang Wu
FedML
20
13
0
10 Jan 2022
Robust Semi-supervised Federated Learning for Images Automatic
  Recognition in Internet of Drones
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones
Zhe Zhang
Shiyao Ma
Zhaohui Yang
Zehui Xiong
Jiawen Kang
Yi Wu
Kejia Zhang
Dusit Niyato
14
35
0
03 Jan 2022
Robust Convergence in Federated Learning through Label-wise Clustering
Robust Convergence in Federated Learning through Label-wise Clustering
Hunmin Lee
Yueyang Liu
Donghyun Kim
Yingshu Li
FedML
25
1
0
28 Dec 2021
Towards Federated Learning on Time-Evolving Heterogeneous Data
Towards Federated Learning on Time-Evolving Heterogeneous Data
Yongxin Guo
Tao R. Lin
Xiaoying Tang
FedML
22
30
0
25 Dec 2021
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning
Irem Ergun
Hasin Us Sami
Başak Güler
FedML
41
26
0
23 Dec 2021
FedFR: Joint Optimization Federated Framework for Generic and
  Personalized Face Recognition
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
Chih-Ting Liu
Chien-Yi Wang
Shao-Yi Chien
S. Lai
FedML
19
36
0
23 Dec 2021
FedLGA: Towards System-Heterogeneity of Federated Learning via Local
  Gradient Approximation
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation
Xingyu Li
Zhe Qu
Bo Tang
Zhuo Lu
FedML
33
25
0
22 Dec 2021
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