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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 / 1,085 papers shown
Title
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
Nikhil Churamani
Saksham Checker
Fethiye Irmak Dogan
Hao-Tien Lewis Chiang
Hatice Gunes
FedML
91
1
0
24 Feb 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
Yixuan Wang
Wenkai Ji
Jian Zhou
Fu Xiao
Tsung-Hui Chang
41
0
0
24 Feb 2025
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Raghav Singhal
Kaustubh Ponkshe
Rohit Vartak
Lav R. Varshney
Praneeth Vepakomma
FedML
79
0
0
24 Feb 2025
Multi-Target Federated Backdoor Attack Based on Feature Aggregation
Multi-Target Federated Backdoor Attack Based on Feature Aggregation
Lingguag Hao
K. Hao
Bing Wei
Xue-song Tang
FedML
AAML
59
0
0
23 Feb 2025
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
T.Q.D. Pham
K.D. Tran
Khanh T. P. Nguyen
X.V. Tran
K.P. Tran
K.P. Tran
AI4CE
36
0
0
17 Feb 2025
Preconditioned Inexact Stochastic ADMM for Deep Model
Shenglong Zhou
Ouya Wang
Ziyan Luo
Yongxu Zhu
Geoffrey Ye Li
46
0
0
15 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
178
0
0
10 Feb 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Donglin Zhan
Leonardo F. Toso
James Anderson
101
1
0
04 Feb 2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Chaouki Ben Issaid
Praneeth Vepakomma
Mehdi Bennis
84
0
0
03 Feb 2025
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
Furkan Bagci
Busra Tegin
M. Kazemi
T. Duman
38
0
0
30 Jan 2025
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization
Kevin Cooper
Michael Geller
93
0
0
30 Jan 2025
FedTLU: Federated Learning with Targeted Layer Updates
FedTLU: Federated Learning with Targeted Layer Updates
Jong-Ik Park
Carlee Joe-Wong
FedML
84
0
0
28 Jan 2025
Federated Deep Subspace Clustering
Federated Deep Subspace Clustering
Yupei Zhang
Ruojia Feng
Yifei Wang
Xuequn Shang
FedML
80
0
0
17 Jan 2025
Encoded Spatial Attribute in Multi-Tier Federated Learning
Encoded Spatial Attribute in Multi-Tier Federated Learning
Asfia Kawnine
Francis Palma
Seyed Alireza Rahimi Azghadi
Hung Cao
FedML
42
0
0
10 Jan 2025
Differentially Private Online Federated Learning with Correlated Noise
Differentially Private Online Federated Learning with Correlated Noise
Jiaojiao Zhang
Linglingzhi Zhu
Mikael Johansson
FedML
49
1
0
10 Jan 2025
A Unified Analysis of Federated Learning with Arbitrary Client Participation
A Unified Analysis of Federated Learning with Arbitrary Client Participation
Shiqiang Wang
Mingyue Ji
FedML
44
55
0
31 Dec 2024
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
S. Chowdhury
Raju Halder
FedML
40
0
0
31 Dec 2024
Disentangling data distribution for Federated Learning
Disentangling data distribution for Federated Learning
Xinyuan Zhao
Hanlin Gu
Lixin Fan
Qiang Yang
Yuxing Han
OOD
FedML
44
0
0
31 Dec 2024
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
Afsaneh Mahmoudi
Ming Xiao
Emil Björnson
58
0
0
31 Dec 2024
FedMeld: A Model-dispersal Federated Learning Framework for Space-ground
  Integrated Networks
FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks
Qian Chen
Xianhao Chen
Kaibin Huang
FedML
41
2
0
23 Dec 2024
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
91
0
0
18 Dec 2024
FedMetaMed: Federated Meta-Learning for Personalized Medication in
  Distributed Healthcare Systems
FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems
Jiechao Gao
Yuangang Li
59
1
0
05 Dec 2024
Review of Mathematical Optimization in Federated Learning
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedML
AI4CE
72
0
0
02 Dec 2024
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures
Yicheng Zhang
Zhen Qin
Zhaomin Wu
Jian Hou
Shuiguang Deng
80
2
0
28 Nov 2024
Task Arithmetic Through The Lens Of One-Shot Federated Learning
Task Arithmetic Through The Lens Of One-Shot Federated Learning
Zhixu Tao
I. Mason
Sanjeev R. Kulkarni
Xavier Boix
MoMe
FedML
84
3
0
27 Nov 2024
BadSFL: Backdoor Attack against Scaffold Federated Learning
BadSFL: Backdoor Attack against Scaffold Federated Learning
Xingshuo Han
Xuanye Zhang
Xiang Lan
Haozhao Wang
Shengmin Xu
Shen Ren
Jason Zeng
Ming Wu
Michael Heinrich
Tianwei Zhang
FedML
64
1
0
25 Nov 2024
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
Dun Zeng
Zheshun Wu
Shiyu Liu
Yu Pan
Xiaoying Tang
Zenglin Xu
MLT
FedML
89
1
0
25 Nov 2024
How to Defend Against Large-scale Model Poisoning Attacks in Federated
  Learning: A Vertical Solution
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution
Jinbo Wang
Ruijin Wang
Fengli Zhang
FedML
AAML
29
0
0
16 Nov 2024
Using Diffusion Models as Generative Replay in Continual Federated
  Learning -- What will Happen?
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen?
Yongsheng Mei
Liangqi Yuan
Dong-Jun Han
Kevin S. Chan
Christopher G. Brinton
Tian-Shing Lan
38
0
0
10 Nov 2024
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For
  Autonomous Visual Robot Navigation
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation
Shreya Gummadi
M. V. Gasparino
Deepak Vasisht
Girish Chowdhary
FedML
35
1
0
06 Nov 2024
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained
  Aggregation
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation
Ziwei Zhan
Wenkuan Zhao
Yuanqing Li
Weijie Liu
Xiaoxi Zhang
Chee Wei Tan
Chuan Wu
Deke Guo
Xu Chen
MoE
45
1
0
04 Nov 2024
FedReMa: Improving Personalized Federated Learning via Leveraging the
  Most Relevant Clients
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients
Han Liang
Ziwei Zhan
Weijie Liu
Xiaoxi Zhang
Chee Wei Tan
Xu Chen
FedML
28
0
0
04 Nov 2024
Federated Learning Clients Clustering with Adaptation to Data Drifts
Federated Learning Clients Clustering with Adaptation to Data Drifts
Minghao Li
Dmitrii Avdiukhin
Rana Shahout
Nikita Ivkin
Vladimir Braverman
Minlan Yu
FedML
26
0
0
03 Nov 2024
Personalized Federated Learning via Feature Distribution Adaptation
Personalized Federated Learning via Feature Distribution Adaptation
Connor Mclaughlin
Lili Su
FedML
OOD
50
1
0
01 Nov 2024
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
Youngjoon Lee
J. Gong
Joonhyuk Kang
47
0
0
31 Oct 2024
Personalized Federated Learning with Mixture of Models for Adaptive
  Prediction and Model Fine-Tuning
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
P. M. Ghari
Yanning Shen
FedML
25
1
0
28 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with
  Progressive Model Fusion
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Y. Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedML
MoMe
AI4CE
49
6
0
27 Oct 2024
Equitable Federated Learning with Activation Clustering
Equitable Federated Learning with Activation Clustering
Antesh Upadhyay
Abolfazl Hashemi
FedML
26
0
0
24 Oct 2024
LEGO: Language Model Building Blocks
LEGO: Language Model Building Blocks
Shrenik Bhansali
Alwin Jin
Tyler Lizzo
Larry Heck
16
0
0
23 Oct 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and
  Data Entropy-driven Participant Selection
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection
Charuka Herath
Xiaolan Liu
S. Lambotharan
Y. Rahulamathavan
FedML
23
2
0
23 Oct 2024
Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed
  Point Smoothness: Theories and Applications
Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications
Yue Huang
Zhaoxian Wu
Shiqian Ma
Qing Ling
31
1
0
17 Oct 2024
Federated scientific machine learning for approximating functions and
  solving differential equations with data heterogeneity
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity
Handi Zhang
Langchen Liu
Lu Lu
FedML
32
1
0
17 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via
  Statistics Tuning
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
Evelyn Ma
Chao Pan
Rasoul Etesami
Han Zhao
Olgica Milenković
FedML
AAML
36
0
0
16 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution
  Generalization and Detection
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
Xinting Liao
Weiming Liu
Pengyang Zhou
Fengyuan Yu
Jiahe Xu
Jun Wang
Wenjie Wang
Chaochao Chen
Xiaolin Zheng
FedML
OODD
46
2
0
15 Oct 2024
FedECADO: A Dynamical System Model of Federated Learning
FedECADO: A Dynamical System Model of Federated Learning
Aayushya Agarwal
Gauri Joshi
L. Pileggi
FedML
23
0
0
13 Oct 2024
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
Jiamu Zheng
Jinghuai Zhang
Tianyu Du
Xuhong Zhang
Jianwei Yin
Tao Lin
KELM
40
0
0
12 Oct 2024
The Effect of Personalization in FedProx: A Fine-grained Analysis on
  Statistical Accuracy and Communication Efficiency
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency
Xin Yu
Zelin He
Ying Sun
Lingzhou Xue
Runze Li
FedML
26
0
0
11 Oct 2024
A Comprehensive Survey on Joint Resource Allocation Strategies in
  Federated Edge Learning
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning
Jingbo Zhang
Qiong Wu
Pingyi Fan
Q. Fan
FedML
30
0
0
10 Oct 2024
FedGraph: A Research Library and Benchmark for Federated Graph Learning
FedGraph: A Research Library and Benchmark for Federated Graph Learning
Yuhang Yao
Yuan Li
Xinyi Fan
Junhao Li
Kay Liu
Weizhao Jin
Srivatsan Ravi
Philip S. Yu
Carlee Joe-Wong
FedML
27
0
0
08 Oct 2024
FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
Yihang Wu
Christian Desrosiers
A. Chaddad
VLM
27
5
0
08 Oct 2024
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