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Federated Learning with Matched Averaging

Federated Learning with Matched Averaging

15 February 2020
Hongyi Wang
Mikhail Yurochkin
Yuekai Sun
Dimitris Papailiopoulos
Y. Khazaeni
    FedML
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Papers citing "Federated Learning with Matched Averaging"

50 / 513 papers shown
Title
Federated Learning with Position-Aware Neurons
Federated Learning with Position-Aware Neurons
Xin-Chun Li
Yi-Chu Xu
Shaoming Song
Bingshuai Li
Yinchuan Li
Yunfeng Shao
De-Chuan Zhan
FedML
13
33
0
28 Mar 2022
SlimFL: Federated Learning with Superposition Coding over Slimmable
  Neural Networks
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks
Won Joon Yun
Yunseok Kwak
Hankyul Baek
Soyi Jung
Mingyue Ji
M. Bennis
Jihong Park
Joongheon Kim
13
16
0
26 Mar 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Xiaoxiao Liang
Yiqun Lin
H. Fu
Lei Zhu
X. Li
FedML
8
48
0
26 Mar 2022
Addressing Client Drift in Federated Continual Learning with Adaptive
  Optimization
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization
Yeshwanth Venkatesha
Youngeun Kim
Hyoungseob Park
Yuhang Li
Priyadarshini Panda
FedML
11
7
0
24 Mar 2022
Adaptive Aggregation For Federated Learning
Adaptive Aggregation For Federated Learning
K. R. Jayaram
Vinod Muthusamy
Gegi Thomas
Ashish Verma
Mark Purcell
FedML
17
16
0
23 Mar 2022
Federated Class-Incremental Learning
Federated Class-Incremental Learning
Jiahua Dong
Lixu Wang
Zhen Fang
Gan Sun
Shichao Xu
Xiao Wang
Qi Zhu
CLL
FedML
22
167
0
22 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
12
32
0
12 Mar 2022
Deep Class Incremental Learning from Decentralized Data
Deep Class Incremental Learning from Decentralized Data
Xiaohan Zhang
Songlin Dong
Jinjie Chen
Qiaoling Tian
Yihong Gong
Xiaopeng Hong
CLL
23
11
0
11 Mar 2022
Federated Minimax Optimization: Improved Convergence Analyses and
  Algorithms
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
19
46
0
09 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
13
45
0
05 Mar 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight
  Dequantization
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
Jaehong Yoon
Geondo Park
Wonyong Jeong
Sung Ju Hwang
FedML
15
19
0
23 Feb 2022
Architecture Agnostic Federated Learning for Neural Networks
Architecture Agnostic Federated Learning for Neural Networks
Disha Makhija
Xing Han
Nhat Ho
Joydeep Ghosh
FedML
21
40
0
15 Feb 2022
Fabricated Flips: Poisoning Federated Learning without Data
Fabricated Flips: Poisoning Federated Learning without Data
Jiyue Huang
Zilong Zhao
L. Chen
Stefanie Roos
25
3
0
07 Feb 2022
Proportional Fairness in Federated Learning
Proportional Fairness in Federated Learning
Guojun Zhang
Saber Malekmohammadi
Xi Chen
Yaoliang Yu
FedML
25
24
0
03 Feb 2022
Factorized-FL: Agnostic Personalized Federated Learning with Kernel
  Factorization & Similarity Matching
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching
Wonyong Jeong
Sung Ju Hwang
FedML
32
4
0
01 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
37
22
0
01 Feb 2022
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine
  Transform Loss
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss
Jinbao Wang
Guoyang Xie
Yawen Huang
Yefeng Zheng
Yaochu Jin
Feng Zheng
MedIm
27
9
0
29 Jan 2022
Gradient Masked Averaging for Federated Learning
Gradient Masked Averaging for Federated Learning
Irene Tenison
Sai Aravind Sreeramadas
Vaikkunth Mugunthan
Edouard Oyallon
Irina Rish
Eugene Belilovsky
FedML
66
24
0
28 Jan 2022
FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality
  Brain Image Synthesis
FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis
Jinbao Wang
Guoyang Xie
Yawen Huang
Yuexiang Li
Yefeng Zheng
Feng Zheng
Yaochu Jin
FedML
MedIm
48
47
0
22 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication
FedComm: Federated Learning as a Medium for Covert Communication
Dorjan Hitaj
Giulio Pagnotta
B. Hitaj
F. Pérez-Cruz
L. Mancini
FedML
22
10
0
21 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on
  Heterogeneous Clients
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients
Jaemin Shin
Yuanchun Li
Yunxin Liu
Sung-Ju Lee
FedML
15
71
0
05 Jan 2022
Towards Understanding Quality Challenges of the Federated Learning for
  Neural Networks: A First Look from the Lens of Robustness
Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness
Amin Eslami Abyane
Derui Zhu
Roberto Souza
Lei Ma
Hadi Hemmati
AAML
OOD
FedML
24
2
0
05 Jan 2022
Federated Dynamic Sparse Training: Computing Less, Communicating Less,
  Yet Learning Better
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
Sameer Bibikar
H. Vikalo
Zhangyang Wang
Xiaohan Chen
FedML
15
95
0
18 Dec 2021
From Deterioration to Acceleration: A Calibration Approach to
  Rehabilitating Step Asynchronism in Federated Optimization
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization
Feijie Wu
Song Guo
Haozhao Wang
Zhihao Qu
Haobo Zhang
Jiewei Zhang
Ziming Liu
17
11
0
17 Dec 2021
Optimal Rate Adaption in Federated Learning with Compressed
  Communications
Optimal Rate Adaption in Federated Learning with Compressed Communications
Laizhong Cui
Xiaoxin Su
Yipeng Zhou
Jiangchuan Liu
FedML
28
38
0
13 Dec 2021
Efficient Device Scheduling with Multi-Job Federated Learning
Efficient Device Scheduling with Multi-Job Federated Learning
Chen Zhou
Ji Liu
Juncheng Jia
Jingbo Zhou
Yang Zhou
H. Dai
Dejing Dou
FedML
12
39
0
11 Dec 2021
Collaborative Learning over Wireless Networks: An Introductory Overview
Collaborative Learning over Wireless Networks: An Introductory Overview
Emre Ozfatura
Deniz Gunduz
H. Vincent Poor
22
11
0
07 Dec 2021
FedDAG: Federated DAG Structure Learning
FedDAG: Federated DAG Structure Learning
Erdun Gao
Junjia Chen
Li Shen
Tongliang Liu
Mingming Gong
H. Bondell
FedML
39
17
0
07 Dec 2021
Intrinisic Gradient Compression for Federated Learning
Intrinisic Gradient Compression for Federated Learning
Luke Melas-Kyriazi
Franklyn Wang
FedML
16
3
0
05 Dec 2021
Compare Where It Matters: Using Layer-Wise Regularization To Improve
  Federated Learning on Heterogeneous Data
Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data
Ha Min Son
M. Kim
T. Chung
FedML
11
9
0
01 Dec 2021
Fed2: Feature-Aligned Federated Learning
Fed2: Feature-Aligned Federated Learning
Fuxun Yu
Weishan Zhang
Zhuwei Qin
Zirui Xu
Di Wang
Chenchen Liu
Zhi Tian
Xiang Chen
FedML
28
74
0
28 Nov 2021
Local Learning Matters: Rethinking Data Heterogeneity in Federated
  Learning
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
Matías Mendieta
Taojiannan Yang
Pu Wang
Minwoo Lee
Zhengming Ding
C. L. P. Chen
FedML
17
158
0
28 Nov 2021
Federated Gaussian Process: Convergence, Automatic Personalization and
  Multi-fidelity Modeling
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling
Xubo Yue
Raed Al Kontar
FedML
49
9
0
28 Nov 2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
Chaoyang He
Alay Dilipbhai Shah
Zhenheng Tang
Adarshan Naiynar Sivashunmugam
Keerti Bhogaraju
Mita Shimpi
Li Shen
X. Chu
Mahdi Soltanolkotabi
Salman Avestimehr
VLM
FedML
26
68
0
22 Nov 2021
Merging Models with Fisher-Weighted Averaging
Merging Models with Fisher-Weighted Averaging
Michael Matena
Colin Raffel
FedML
MoMe
27
347
0
18 Nov 2021
Personalized Federated Learning through Local Memorization
Personalized Federated Learning through Local Memorization
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
20
87
0
17 Nov 2021
On-Demand Unlabeled Personalized Federated Learning
On-Demand Unlabeled Personalized Federated Learning
Ohad Amosy
G. Eyal
Gal Chechik
FedML
29
2
0
16 Nov 2021
FedGreen: Federated Learning with Fine-Grained Gradient Compression for
  Green Mobile Edge Computing
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing
Peichun Li
Xumin Huang
Miao Pan
Rong Yu
23
14
0
11 Nov 2021
DACFL: Dynamic Average Consensus Based Federated Learning in
  Decentralized Topology
DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology
Zhikun Chen
Daofeng Li
Jinkang Zhu
Sihai Zhang
FedML
26
8
0
10 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and
  In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
C. Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
28
50
0
09 Nov 2021
On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural
  Networks
On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks
Dang Nguyen
T. Nguyen
Khai Nguyen
D.Q. Phung
Hung Bui
Nhat Ho
MoMe
16
9
0
29 Oct 2021
Federated Learning with Heterogeneous Differential Privacy
Federated Learning with Heterogeneous Differential Privacy
Nasser Aldaghri
Hessam Mahdavifar
Ahmad Beirami
FedML
22
2
0
28 Oct 2021
Ensemble Federated Adversarial Training with Non-IID data
Ensemble Federated Adversarial Training with Non-IID data
Shuang Luo
Didi Zhu
Zexi Li
Chao-Xiang Wu
FedML
20
7
0
26 Oct 2021
Federated Learning over Wireless IoT Networks with Optimized
  Communication and Resources
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
Student Member Ieee Hao Chen
Shaocheng Huang
Deyou Zhang
Ming Xiao
Fellow Ieee Mikael Skoglund
L. F. I. H. Vincent Poor
16
92
0
22 Oct 2021
Decentralised Person Re-Identification with Selective Knowledge
  Aggregation
Decentralised Person Re-Identification with Selective Knowledge Aggregation
Shitong Sun
Guile Wu
S. Gong
OOD
9
8
0
21 Oct 2021
A Federated Learning Aggregation Algorithm for Pervasive Computing:
  Evaluation and Comparison
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison
Sannara Ek
François Portet
P. Lalanda
Germán Vega
FedML
23
103
0
19 Oct 2021
FedMe: Federated Learning via Model Exchange
FedMe: Federated Learning via Model Exchange
Koji Matsuda
Yuya Sasaki
Chuan Xiao
Makoto Onizuka
FedML
37
19
0
15 Oct 2021
Federated learning and next generation wireless communications: A survey
  on bidirectional relationship
Federated learning and next generation wireless communications: A survey on bidirectional relationship
Debaditya Shome
Omer Waqar
Wali Ullah Khan
26
31
0
14 Oct 2021
Gradual Federated Learning with Simulated Annealing
Gradual Federated Learning with Simulated Annealing
L. Nguyen
Junhan Kim
B. Shim
FedML
21
10
0
11 Oct 2021
Neural Tangent Kernel Empowered Federated Learning
Neural Tangent Kernel Empowered Federated Learning
Kai Yue
Richeng Jin
Ryan Pilgrim
Chau-Wai Wong
D. Baron
H. Dai
FedML
20
17
0
07 Oct 2021
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