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Federated Learning with Matched Averaging

Federated Learning with Matched Averaging

International Conference on Learning Representations (ICLR), 2020
15 February 2020
Hongyi Wang
Mikhail Yurochkin
Yuekai Sun
Dimitris Papailiopoulos
Y. Khazaeni
    FedML
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)

Papers citing "Federated Learning with Matched Averaging"

50 / 545 papers shown
Title
Semi-Variance Reduction for Fair Federated Learning
Semi-Variance Reduction for Fair Federated Learning
Saber Malekmohammadi
Yaoliang Yu
FedML
271
2
0
23 Jun 2024
Embracing Federated Learning: Enabling Weak Client Participation via
  Partial Model Training
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training
Sunwoo Lee
Tuo Zhang
Saurav Prakash
Yue Niu
Salman Avestimehr
FedML
120
7
0
21 Jun 2024
Investigating the Pre-Training Dynamics of In-Context Learning: Task
  Recognition vs. Task Learning
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
Xiaolei Wang
Xinyu Tang
Wayne Xin Zhao
Ji-Rong Wen
121
5
0
20 Jun 2024
Knowledge Fusion By Evolving Weights of Language Models
Knowledge Fusion By Evolving Weights of Language Models
Guodong DU
Yiyao Cao
Hanting Liu
Runhua Jiang
Shuyang Yu
Yifei Guo
Sim Kuan Goh
Jing Li
MoMe
165
16
0
18 Jun 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
Zhenyi Lu
Chenghao Fan
Wei Wei
Xiaoye Qu
Dangyang Chen
Yu Cheng
MoMe
189
79
0
17 Jun 2024
Heterogeneous Federated Learning with Convolutional and Spiking Neural
  Networks
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks
Yingchao Yu
Yuping Yan
Jisong Cai
Yaochu Jin
FedML
112
1
0
14 Jun 2024
Decentralized Personalized Federated Learning
Decentralized Personalized Federated Learning
Salma Kharrat
Marco Canini
Samuel Horváth
FedML
176
1
0
10 Jun 2024
Optimisation of federated learning settings under statistical
  heterogeneity variations
Optimisation of federated learning settings under statistical heterogeneity variations
Basem Suleiman
M. J. Alibasa
R. Purwanto
Lewis Jeffries
Ali Anaissi
Jacky Song
FedML
166
0
0
10 Jun 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for
  Federated Learning
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning
Seongyoon Kim
Minchan Jeong
Sungnyun Kim
Sungwoo Cho
Sumyeong Ahn
Se-Young Yun
FedML
194
2
0
04 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction
Certifiably Byzantine-Robust Federated Conformal Prediction
Mintong Kang
Zhen Lin
Jimeng Sun
Cao Xiao
Yue Liu
FedML
184
5
0
04 Jun 2024
Selective Knowledge Sharing for Personalized Federated Learning Under
  Capacity Heterogeneity
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity
Zheng Wang
Zheng Wang
Zhaopeng Peng
Zihui Wang
Cheng-i Wang
FedML
86
0
0
31 May 2024
Enhancing Performance for Highly Imbalanced Medical Data via Data
  Regularization in a Federated Learning Setting
Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting
Georgios Tsoumplekas
Ilias Siniosoglou
Vasileios Argyriou
Ioannis D. Moscholios
Panagiotis G. Sarigiannidis
OODFedML
85
2
0
30 May 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
Derek Lim
Moe Putterman
Robin Walters
Haggai Maron
Stefanie Jegelka
283
12
0
30 May 2024
Federated and Transfer Learning for Cancer Detection Based on Image
  Analysis
Federated and Transfer Learning for Cancer Detection Based on Image Analysis
Amine Bechar
Y. Elmir
Yassine Himeur
Rafik Medjoudj
Abbes Amira
MedIm
129
20
0
30 May 2024
Federated Cross-Training Learners for Robust Generalization under Data Heterogeneity
Federated Cross-Training Learners for Robust Generalization under Data Heterogeneity
Zhuang Qi
Lei Meng
Ruohan Zhang
Yu Wang
Xin Qi
Xiangxu Meng
Xiangxu Meng
Qiang Yang
FedML
293
4
0
30 May 2024
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization
Xiumei Deng
Jun Li
Kang Wei
Long Shi
Zeihui Xiong
Ming Ding
Wen Chen
Shi Jin
H. Vincent Poor
FedML
138
0
0
28 May 2024
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling,
  then Average
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average
Louis Fournier
Adel Nabli
Masih Aminbeidokhti
M. Pedersoli
Eugene Belilovsky
Edouard Oyallon
MoMeFedML
165
7
0
27 May 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Farhad Pourpanah
Mahdiyar Molahasani
Milad Soltany
Michael A. Greenspan
Ali Etemad
FedMLOOD
624
5
0
25 May 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware
  Client Indexing
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
Yongxin Guo
Lin Wang
Xiaoying Tang
Tao Lin
FedMLOOD
197
0
0
25 May 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Recurrent Early Exits for Federated Learning with Heterogeneous ClientsInternational Conference on Machine Learning (ICML), 2024
Royson Lee
Javier Fernandez-Marques
S. Hu
Da Li
Stefanos Laskaridis
Łukasz Dudziak
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
142
6
0
23 May 2024
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of
  Large Language Models
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Peng Wang
Zexi Li
Ningyu Zhang
Ziwen Xu
Yunzhi Yao
Yong Jiang
Pengjun Xie
Fei Huang
Huajun Chen
KELMCLL
190
53
0
23 May 2024
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Xin-Chun Li
Jinli Tang
Bo Zhang
Lan Li
De-Chuan Zhan
144
2
0
21 May 2024
Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks
Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks
Yichu Xu
Xin-Chun Li
Lan Li
De-Chuan Zhan
202
2
0
21 May 2024
Stable Diffusion-based Data Augmentation for Federated Learning with
  Non-IID Data
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Mahdi Morafah
M. Reisser
Bill Lin
Christos Louizos
FedML
149
9
0
13 May 2024
FedSI: Federated Subnetwork Inference for Efficient Uncertainty
  Quantification
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification
Hui Chen
Hengyu Liu
Zhangkai Wu
Xuhui Fan
LongBing Cao
FedML
120
2
0
24 Apr 2024
Advances and Open Challenges in Federated Learning with Foundation
  Models
Advances and Open Challenges in Federated Learning with Foundation Models
Chao Ren
Han Yu
Hongyi Peng
Xiaoli Tang
Anran Li
...
A. Tan
Bo Zhao
Xiaoxiao Li
Zengxiang Li
Qiang Yang
FedMLAIFinAI4CE
254
28
0
23 Apr 2024
Towards Multi-modal Transformers in Federated Learning
Towards Multi-modal Transformers in Federated Learning
Guangyu Sun
Matías Mendieta
Aritra Dutta
Xin Li
Chong Chen
178
12
0
18 Apr 2024
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense
  Mechanism Against Poisoning Attacks in Federated Learning
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning
Sungwon Han
Hyeonho Song
Sungwon Park
Meeyoung Cha
FedMLAAML
130
0
0
18 Apr 2024
FedEGG: Federated Learning with Explicit Global Guidance
FedEGG: Federated Learning with Explicit Global Guidance
Kun Zhai
Yifeng Gao
Jiabo He
Difan Zou
Guangnan Ye
Yu-Gang Jiang
Yu-Gang Jiang
FedML
90
0
0
18 Apr 2024
Hybrid FedGraph: An efficient hybrid federated learning algorithm using
  graph convolutional neural network
Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network
Jaeyeon Jang
Diego Klabjan
Veena Mendiratta
Fanfei Meng
FedML
139
1
0
15 Apr 2024
On the Efficiency of Privacy Attacks in Federated Learning
On the Efficiency of Privacy Attacks in Federated Learning
Nawrin Tabassum
Ka-Ho Chow
Xuyu Wang
Wenbin Zhang
Yanzhao Wu
FedML
107
5
0
15 Apr 2024
MAP: Model Aggregation and Personalization in Federated Learning with
  Incomplete Classes
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes
Xin-Chun Li
Shaoming Song
Yinchuan Li
Bingshuai Li
Yunfeng Shao
Yang Yang
De-Chuan Zhan
FedML
123
11
0
14 Apr 2024
FedDistill: Global Model Distillation for Local Model De-Biasing in
  Non-IID Federated Learning
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning
Changlin Song
Divya Saxena
Jiannong Cao
Yuqing Zhao
FedML
171
4
0
14 Apr 2024
Simultaneous linear connectivity of neural networks modulo permutation
Simultaneous linear connectivity of neural networks modulo permutation
Ekansh Sharma
Devin Kwok
Tom Denton
Daniel M. Roy
David Rolnick
Gintare Karolina Dziugaite
336
9
0
09 Apr 2024
Approximate Gradient Coding for Privacy-Flexible Federated Learning with
  Non-IID Data
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID DataEuropean Signal Processing Conference (EUSIPCO), 2024
Okko Makkonen
Sampo Niemelä
Camilla Hollanti
Serge Kas Hanna
126
0
0
04 Apr 2024
Federated Computing -- Survey on Building Blocks, Extensions and Systems
Federated Computing -- Survey on Building Blocks, Extensions and Systems
René Schwermer
R. Mayer
Hans-Arno Jacobsen
FedML
141
3
0
03 Apr 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
FedFisher: Leveraging Fisher Information for One-Shot Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Divyansh Jhunjhunwala
Shiqiang Wang
Gauri Joshi
FedML
133
17
0
19 Mar 2024
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
Ibrahim Almakky
Santosh Sanjeev
Anees Ur Rehman Hashmi
Mohammad Areeb Qazi
Mohammad Yaqub
Mohammad Yaqub
FedMLMoMe
248
6
0
18 Mar 2024
FAGH: Accelerating Federated Learning with Approximated Global Hessian
FAGH: Accelerating Federated Learning with Approximated Global Hessian
Mrinmay Sen
A. K. Qin
Krishna Mohan
FedML
145
1
0
16 Mar 2024
Enhancing IoT Security Against DDoS Attacks through Federated Learning
Enhancing IoT Security Against DDoS Attacks through Federated Learning
Ghazaleh Shirvani
Saeid Ghasemshirazi
Mohammad Ali Alipour
194
2
0
16 Mar 2024
Do Deep Neural Network Solutions Form a Star Domain?
Do Deep Neural Network Solutions Form a Star Domain?International Conference on Learning Representations (ICLR), 2024
Ankit Sonthalia
Alexander Rubinstein
Ehsan Abbasnejad
Seong Joon Oh
MoMe
1.1K
4
5
12 Mar 2024
Enhancing Data Quality in Federated Fine-Tuning of Foundation Models
Enhancing Data Quality in Federated Fine-Tuning of Foundation Models
Wanru Zhao
Yaxin Du
Nicholas D. Lane
Siheng Chen
Yanfeng Wang
126
4
0
07 Mar 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of
  Negative Federated Learning
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Hong Lin
Lidan Shou
Ke Chen
Gang Chen
Sai Wu
69
1
0
07 Mar 2024
DPPA: Pruning Method for Large Language Model to Model Merging
DPPA: Pruning Method for Large Language Model to Model Merging
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
132
4
0
05 Mar 2024
MeanCache: User-Centric Semantic Caching for LLM Web Services
MeanCache: User-Centric Semantic Caching for LLM Web Services
Waris Gill
Mohamed Elidrisi
Pallavi Kalapatapu
Ammar Ahmed
Ali Anwar
Muhammad Ali Gulzar Virginia Tech
182
2
0
05 Mar 2024
Training-Free Pretrained Model Merging
Training-Free Pretrained Model Merging
Zhenxing Xu
Ke Yuan
Huiqiong Wang
Yong Wang
Weilong Dai
Mingli Song
MoMe
194
20
0
04 Mar 2024
Towards Optimal Customized Architecture for Heterogeneous Federated
  Learning with Contrastive Cloud-Edge Model Decoupling
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling
Xingyan Chen
Tian Du
Mu Wang
Tiancheng Gu
Yu Zhao
Gang Kou
Changqiao Xu
Dapeng Oliver Wu
150
6
0
04 Mar 2024
A Comprehensive Survey of Federated Transfer Learning: Challenges,
  Methods and Applications
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications
Wei Guo
Fuzhen Zhuang
Qi. Wang
Yiqi Tong
Jin Dong
FedML
149
30
0
03 Mar 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
Ha Min Son
M. Kim
Tai-Myung Chung
Chao Huang
Xin Liu
FedML
128
7
0
27 Feb 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior
  Fine-Tune
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
Mengen Luo
Chi Xu
E. Kuruoglu
FedML
178
1
0
25 Feb 2024
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