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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
Federated Learning with Dynamic Client Arrival and Departure:
  Convergence and Rapid Adaptation via Initial Model Construction
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction
Zhan-Lun Chang
Dong-Jun Han
Rohit Parasnis
Seyyedali Hosseinalipour
Christopher G. Brinton
21
0
0
08 Oct 2024
Aiding Global Convergence in Federated Learning via Local Perturbation
  and Mutual Similarity Information
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information
Emanuel Buttaci
Giuseppe Carlo Calafiore
FedML
27
0
0
07 Oct 2024
Federated brain tumor segmentation: an extensive benchmark
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe
Stefan Duffner
Carole Lartizien
OOD
FedML
46
4
0
07 Oct 2024
Federated Learning Nodes Can Reconstruct Peers' Image Data
Federated Learning Nodes Can Reconstruct Peers' Image Data
Ethan Wilson
Kai Yue
Chau-Wai Wong
H. Dai
FedML
27
1
0
07 Oct 2024
Influence-oriented Personalized Federated Learning
Influence-oriented Personalized Federated Learning
Yue Tan
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
31
0
0
04 Oct 2024
FedCert: Federated Accuracy Certification
FedCert: Federated Accuracy Certification
Minh Hieu Nguyen
Huu Tien Nguyen
Trung Thanh Nguyen
Manh Duong Nguyen
Trong Nghia Hoang
Truong Thao Nguyen
Phi Le Nguyen
FedML
32
0
0
04 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan
Samuel Horváth
Martin Takáč
Karthik Nandakumar
FedML
59
0
0
03 Oct 2024
Addressing Data Heterogeneity in Federated Learning with Adaptive
  Normalization-Free Feature Recalibration
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos
Sergio Naval Marimont
Jonathan Passerat-Palmbach
G. Tarroni
30
0
0
02 Oct 2024
Debiasing Federated Learning with Correlated Client Participation
Debiasing Federated Learning with Correlated Client Participation
Zhenyu Sun
Ziyang Zhang
Zheng Xu
Gauri Joshi
Pranay Sharma
Ermin Wei
FedML
26
0
0
02 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
44
8
0
02 Oct 2024
Quantized and Asynchronous Federated Learning
Quantized and Asynchronous Federated Learning
Tomàs Ortega
Hamid Jafarkhani
FedML
31
0
0
30 Sep 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate
  Federated Learning
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning
M. A. Khan
Yasra Chandio
Fatima M. Anwar
AAML
28
0
0
30 Sep 2024
Online Client Scheduling and Resource Allocation for Efficient Federated
  Edge Learning
Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning
Zhidong Gao
Zhenxiao Zhang
Yu Zhang
Tongnian Wang
Yanmin Gong
Yuanxiong Guo
32
0
0
29 Sep 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
Wenzhi Fang
Dong-Jun Han
Evan Chen
Shiqiang Wang
Christopher G. Brinton
34
4
0
27 Sep 2024
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
Xiufang Shi
Wei Zhang
Mincheng Wu
Guangyi Liu
Z. Wen
Shibo He
Tejal Shah
R. Ranjan
DD
FedML
32
1
0
26 Sep 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in
  Unified Distributed SGD
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
Jie Hu
Yi-Ting Ma
Do Young Eun
FedML
27
0
0
26 Sep 2024
Efficient Federated Learning against Heterogeneous and Non-stationary
  Client Unavailability
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
Ming Xiang
Stratis Ioannidis
Edmund Yeh
Carlee Joe-Wong
Lili Su
FedML
34
5
0
26 Sep 2024
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch
Sunny Gupta
Mohit Jindal
Pankhi Kashyap
Pranav Jeevan
Amit Sethi
FedML
34
0
0
23 Sep 2024
Balancing Label Imbalance in Federated Environments Using Only Mixup and
  Artificially-Labeled Noise
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise
Kyle Rui Sang
Tahseen Rabbani
Furong Huang
FedML
36
0
0
20 Sep 2024
Exploring System-Heterogeneous Federated Learning with Dynamic Model
  Selection
Exploring System-Heterogeneous Federated Learning with Dynamic Model Selection
Dixi Yao
FedML
33
0
0
13 Sep 2024
FedHide: Federated Learning by Hiding in the Neighbors
FedHide: Federated Learning by Hiding in the Neighbors
Hyunsin Park
Sungrack Yun
FedML
26
0
0
12 Sep 2024
Federated Impression for Learning with Distributed Heterogeneous Data
Federated Impression for Learning with Distributed Heterogeneous Data
Atrin Arya
Sana Ayromlou
Armin Saadat
Purang Abolmaesumi
Xiaoxiao Li
FedML
OOD
28
0
0
11 Sep 2024
Rate-Constrained Quantization for Communication-Efficient Federated
  Learning
Rate-Constrained Quantization for Communication-Efficient Federated Learning
Shayan Mohajer Hamidi
Ali Bereyhi
FedML
MQ
28
1
0
10 Sep 2024
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous
  Low-Rank Adaptations
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
Ziyao Wang
Zheyu Shen
Yexiao He
Guoheng Sun
Hongyi Wang
Lingjuan Lyu
Ang Li
32
28
0
09 Sep 2024
DynamicFL: Federated Learning with Dynamic Communication Resource
  Allocation
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation
Qi Le
Enmao Diao
Xinran Wang
Vahid Tarokh
Jie Ding
Ali Anwar
FedML
34
1
0
08 Sep 2024
Can We Theoretically Quantify the Impacts of Local Updates on the
  Generalization Performance of Federated Learning?
Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?
Peizhong Ju
Haibo Yang
Jia Liu
Yingbin Liang
Ness B. Shroff
FedML
33
0
0
05 Sep 2024
Bandwidth-Aware and Overlap-Weighted Compression for
  Communication-Efficient Federated Learning
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning
Zichen Tang
Junlin Huang
Rudan Yan
Yuxin Wang
Zhenheng Tang
S. Shi
Amelie Chi Zhou
Xiaowen Chu
FedML
50
2
0
27 Aug 2024
Neighborhood and Global Perturbations Supported SAM in Federated
  Learning: From Local Tweaks To Global Awareness
Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness
Boyuan Li
Zihao Peng
Yafei Li
Mingliang Xu
Shengbo Chen
Baofeng Ji
Cong Shen
FedML
60
0
0
26 Aug 2024
Sample-Independent Federated Learning Backdoor Attack in Speaker Recognition
Sample-Independent Federated Learning Backdoor Attack in Speaker Recognition
Weida Xu
Yang Xu
Sicong Zhang
FedML
AAML
41
0
0
25 Aug 2024
SAB:A Stealing and Robust Backdoor Attack based on Steganographic
  Algorithm against Federated Learning
SAB:A Stealing and Robust Backdoor Attack based on Steganographic Algorithm against Federated Learning
Weida Xu
Yang Xu
Sicong Zhang
AAML
FedML
34
0
0
25 Aug 2024
Submodular Maximization Approaches for Equitable Client Selection in
  Federated Learning
Submodular Maximization Approaches for Equitable Client Selection in Federated Learning
Andrés Catalino Castillo Jiménez
Ege C. Kaya
Lintao Ye
Abolfazl Hashemi
FedML
51
2
0
24 Aug 2024
Understanding Data Reconstruction Leakage in Federated Learning from a
  Theoretical Perspective
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective
Zifan Wang
Binghui Zhang
Meng Pang
Yuan Hong
Binghui Wang
FedML
41
0
0
22 Aug 2024
RFID based Health Adherence Medicine Case Using Fair Federated Learning
RFID based Health Adherence Medicine Case Using Fair Federated Learning
Ali Kamrani khodaei
Sina Hajer Ahmadi
13
0
0
21 Aug 2024
Federated Frank-Wolfe Algorithm
Federated Frank-Wolfe Algorithm
Ali Dadras
Sourasekhar Banerjee
Karthik Prakhya
A. Yurtsever
FedML
34
4
0
19 Aug 2024
Sequential Federated Learning in Hierarchical Architecture on Non-IID
  Datasets
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets
Xingrun Yan
Shiyuan Zuo
Rongfei Fan
Han Hu
Li Shen
Puning Zhao
Yong Luo
FedML
55
0
0
19 Aug 2024
Seamless Integration: Sampling Strategies in Federated Learning Systems
Seamless Integration: Sampling Strategies in Federated Learning Systems
T. Legler
Vinit Hegiste
Martin Ruskowski
FedML
36
1
0
18 Aug 2024
The Power of Bias: Optimizing Client Selection in Federated Learning
  with Heterogeneous Differential Privacy
The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy
Jiating Ma
Yipeng Zhou
Qi Li
Quan Z. Sheng
Laizhong Cui
Jiangchuan Liu
FedML
25
0
0
16 Aug 2024
An Adaptive Differential Privacy Method Based on Federated Learning
An Adaptive Differential Privacy Method Based on Federated Learning
Zhiqiang Wang
Xinyue Yu
Qianli Huang
Yongguang Gong
FedML
18
3
0
13 Aug 2024
Understanding Byzantine Robustness in Federated Learning with A
  Black-box Server
Understanding Byzantine Robustness in Federated Learning with A Black-box Server
Fangyuan Zhao
Yuexiang Xie
Xuebin Ren
Bolin Ding
Shusen Yang
Yaliang Li
FedML
AAML
22
0
0
12 Aug 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning
  with Momentum on Shared Server Data
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data
Ji Liu
Juncheng Jia
Hong Zhang
Yuhui Yun
Leye Wang
Yang Zhou
H. Dai
Dejing Dou
FedML
30
5
0
11 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm
On the Convergence of a Federated Expectation-Maximization Algorithm
Zhixu Tao
Rajita Chandak
Sanjeev R. Kulkarni
FedML
30
0
0
11 Aug 2024
Federated Smoothing Proximal Gradient for Quantile Regression with
  Non-Convex Penalties
Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties
Reza Mirzaeifard
Diyako Ghaderyan
Stefan Werner
23
0
0
10 Aug 2024
Masked Random Noise for Communication Efficient Federaetd Learning
Masked Random Noise for Communication Efficient Federaetd Learning
Shiwei Li
Yingyi Cheng
Haozhao Wang
Xing Tang
Shijie Xu
Weihong Luo
Yuhua Li
Dugang Liu
Xiuqiang He
and Ruixuan Li
FedML
50
1
0
06 Aug 2024
FedBAT: Communication-Efficient Federated Learning via Learnable
  Binarization
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
Shiwei Li
Wenchao Xu
Haozhao Wang
Xing Tang
Tianzhe Xiao
Shijie Xu
Weihong Luo
Yuhua Li
Xiuqiang He
Ruixuan Li
FedML
30
2
0
06 Aug 2024
Load Balancing in Federated Learning
Load Balancing in Federated Learning
Alireza Javani
Zhiying Wang
FedML
30
1
0
01 Aug 2024
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
M. A. Ma'sum
Mahardhika Pratama
Savitha Ramasamy
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
CLL
35
0
0
30 Jul 2024
Federated Learning as a Service for Hierarchical Edge Networks with
  Heterogeneous Models
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models
Wentao Gao
Omid Tavallaie
Shuaijun Chen
Albert Zomaya
FedML
30
3
0
30 Jul 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware
  Submodel Extraction
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
Feijie Wu
Xingchen Wang
Yaqing Wang
Tianci Liu
Lu Su
Jing Gao
FedML
48
3
0
28 Jul 2024
Enhancing Group Fairness in Federated Learning through Personalization
Enhancing Group Fairness in Federated Learning through Personalization
Yifan Yang
Ali Payani
Parinaz Naghizadeh Ardabili
FedML
40
0
0
27 Jul 2024
An Adaptive CSI Feedback Model Based on BiLSTM for Massive MIMO-OFDM
  Systems
An Adaptive CSI Feedback Model Based on BiLSTM for Massive MIMO-OFDM Systems
Hongrui Shen
Long Zhao
Kan Zheng
Yuhua Cao
Pingzhi Fan
37
0
0
26 Jul 2024
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