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Federated Optimization in Heterogeneous Networks
v1v2v3v4v5 (latest)

Federated Optimization in Heterogeneous Networks

14 December 2018
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
    FedML
ArXiv (abs)PDFHTML

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 1,027 papers shown
Title
When Do Curricula Work in Federated Learning?
When Do Curricula Work in Federated Learning?
Saeed Vahidian
Sreevatsank Kadaveru
Woo-Ram Baek
Weijia Wang
Vyacheslav Kungurtsev
Chong Chen
M. Shah
Bill Lin
FedML
88
11
0
24 Dec 2022
Graph Federated Learning with Hidden Representation Sharing
Graph Federated Learning with Hidden Representation Sharing
Shuang Wu
Mingxuan Zhang
Yuantong Li
Carl Yang
Pan Li
FedML
104
1
0
23 Dec 2022
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
Fanxing Liu
Cheng Zeng
Le Zhang
Yingjie Zhou
Qing Mu
Yanru Zhang
Ling Zhang
Ce Zhu
OODFedMLAI4TS
91
8
0
19 Dec 2022
Toward Data Heterogeneity of Federated Learning
Toward Data Heterogeneity of Federated Learning
Yuchuan Huang
Chen Hu
FedML
32
1
0
17 Dec 2022
On Noisy Evaluation in Federated Hyperparameter Tuning
On Noisy Evaluation in Federated Hyperparameter Tuning
Kevin Kuo
Pratiksha Thaker
M. Khodak
John Nguyen
Daniel Jiang
Ameet Talwalkar
Virginia Smith
FedML
115
8
0
17 Dec 2022
Modeling Global Distribution for Federated Learning with Label
  Distribution Skew
Modeling Global Distribution for Federated Learning with Label Distribution Skew
Tao Sheng
Cheng Shen
Yuan Liu
Yeyu Ou
Zhe Qu
Jianxin Wang
FedML
65
7
0
17 Dec 2022
Addressing Data Heterogeneity in Decentralized Learning via Topological
  Pre-processing
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing
Waqwoya Abebe
Ali Jannesari
115
0
0
16 Dec 2022
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP
  Tasks
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks
Weilong Dong
Xinwei Wu
Junzhuo Li
Shuangzhi Wu
Chao Bian
Deyi Xiong
FedML
104
6
0
16 Dec 2022
SplitGP: Achieving Both Generalization and Personalization in Federated
  Learning
SplitGP: Achieving Both Generalization and Personalization in Federated Learning
Dong-Jun Han
Do-Yeon Kim
Minseok Choi
Christopher G. Brinton
Jaekyun Moon
FedML
73
34
0
16 Dec 2022
Robust Learning Protocol for Federated Tumor Segmentation Challenge
Robust Learning Protocol for Federated Tumor Segmentation Challenge
Ambrish Rawat
Giulio Zizzo
S. Kadhe
J. Epperlein
S. Braghin
FedML
89
3
0
16 Dec 2022
FedSkip: Combatting Statistical Heterogeneity with Federated Skip
  Aggregation
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
Ziqing Fan
Yanfeng Wang
Jiangchao Yao
Lingjuan Lyu
Ya Zhang
Qinghua Tian
FedML
72
21
0
14 Dec 2022
Robust Split Federated Learning for U-shaped Medical Image Networks
Robust Split Federated Learning for U-shaped Medical Image Networks
Ziyuan Yang
Yingyu Chen
Huijie Huangfu
Maosong Ran
Hui Wang
Xiaoxiao Li
Yi Zhang
OODFedML
80
11
0
13 Dec 2022
Collaborating Heterogeneous Natural Language Processing Tasks via
  Federated Learning
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning
Chenhe Dong
Yuexiang Xie
Bolin Ding
Ying Shen
Yaliang Li
FedML
62
5
0
12 Dec 2022
ResFed: Communication Efficient Federated Learning by Transmitting Deep
  Compressed Residuals
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals
Rui Song
Liguo Zhou
Lingjuan Lyu
Andreas Festag
Alois Knoll
FedML
81
5
0
11 Dec 2022
Federated Learning for Inference at Anytime and Anywhere
Federated Learning for Inference at Anytime and Anywhere
Zicheng Liu
Da Li
Javier Fernandez-Marques
Stefanos Laskaridis
Yan Gao
Łukasz Dudziak
Stan Z. Li
S. Hu
Timothy M. Hospedales
FedML
88
5
0
08 Dec 2022
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Yutong Dai
Zhenpeng Chen
Junnan Li
Shelby Heinecke
Lichao Sun
Ran Xu
FedML
79
84
0
06 Dec 2022
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Mingyuan Fan
Cen Chen
Chengyu Wang
Ximeng Liu
Wenmeng Zhou
AAMLFedML
103
0
0
05 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge
  Integration at Edge
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Yaxin Luopan
Rui Han
Qinglong Zhang
Chi Harold Liu
Guoren Wang
FedML
165
19
0
04 Dec 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model
  Extraction
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Samiul Alam
Luyang Liu
Ming Yan
Mi Zhang
182
155
0
03 Dec 2022
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth
  Efficient Federated Learning
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning
Shiqi He
Qifan Yan
Feijie Wu
Lanjun Wang
Mathias Lécuyer
Ivan Beschastnikh
FedML
82
8
0
03 Dec 2022
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated
  Learning Framework
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework
Shuai Wang
Yanqing Xu
Zihan Wang
Tsung-Hui Chang
Tony Q.S. Quek
Defeng Sun
FedML
52
9
0
03 Dec 2022
PGFed: Personalize Each Client's Global Objective for Federated Learning
PGFed: Personalize Each Client's Global Objective for Federated Learning
Jun Luo
Matías Mendieta
Chong Chen
Shan-Jyun Wu
FedML
85
9
0
02 Dec 2022
Olive Branch Learning: A Topology-Aware Federated Learning Framework for
  Space-Air-Ground Integrated Network
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network
Qingze Fang
Zhiwei Zhai
Shuai Yu
Qiong Wu
Xiaowen Gong
Xu Chen
78
22
0
02 Dec 2022
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
100
232
0
02 Dec 2022
Generative Data Augmentation for Non-IID Problem in Decentralized
  Clinical Machine Learning
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning
Zirui Wang
Shaoming Duan
Chengyue Wu
Wenhao Lin
Xin-Xiang Zha
Peiyi Han
Chuanyi Liu
MedIm
61
4
0
02 Dec 2022
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient
  Federated Learning
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning
Young Geun Kim
Carole-Jean Wu
FedML
88
5
0
30 Nov 2022
Federated Learning for 5G Base Station Traffic Forecasting
Federated Learning for 5G Base Station Traffic Forecasting
V. Perifanis
Nikolaos Pavlidis
R. Koutsiamanis
P. Efraimidis
AI4TS
84
45
0
28 Nov 2022
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability
Ziyi Wang
Xiaoliang Fan
Jianzhong Qi
Haibing Jin
Peizhen Yang
Siqi Shen
Cheng-i Wang
FedML
94
15
0
25 Nov 2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan
Yixin Liu
Guodong Long
Jing Jiang
Qinghua Lu
Chengqi Zhang
FedML
125
140
0
23 Nov 2022
GitFL: Adaptive Asynchronous Federated Learning using Version Control
GitFL: Adaptive Asynchronous Federated Learning using Version Control
Ming Hu
Zeke Xia
Zhihao Yue
Jun Xia
Yihao Huang
Yang Liu
Mingsong Chen
FedML
116
15
0
22 Nov 2022
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data
Shaoming Duan
Chuanyi Liu
Peiyi Han
Tianyu He
Yifeng Xu
Qiyuan Deng
FedML
84
3
0
22 Nov 2022
Scalable Collaborative Learning via Representation Sharing
Scalable Collaborative Learning via Representation Sharing
Frédéric Berdoz
Abhishek Singh
Martin Jaggi
Ramesh Raskar
FedML
81
3
0
20 Nov 2022
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics
Renjie Pi
Weizhong Zhang
Yueqi Xie
Jiahui Gao
Xiaoyu Wang
Sunghun Kim
Qifeng Chen
DD
88
28
0
20 Nov 2022
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under
  Non-IID Data
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data
Ming Yang
Yanhan Wang
Xin Wang
Zhenyong Zhang
Xiaoming Wu
Peng Cheng
FedML
70
1
0
17 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
72
38
0
17 Nov 2022
FedFA: Federated Learning with Feature Anchors to Align Features and
  Classifiers for Heterogeneous Data
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data
Tailin Zhou
Jun Zhang
Danny H. K. Tsang
FedML
87
61
0
17 Nov 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Qianling Guo
Yong Qi
Saiyu Qi
Di Wu
FedML
85
8
0
16 Nov 2022
Personalized Federated Learning with Multi-branch Architecture
Personalized Federated Learning with Multi-branch Architecture
Junki Mori
T. Yoshiyama
Ryo Furukawa
Isamu Teranishi
FedML
103
2
0
15 Nov 2022
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
Shangchao Su
Min Yang
Bin Li
Xiangyang Xue
VLMFedML
92
20
0
15 Nov 2022
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously
  Correlate User Heterogeneity
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity
Mingjie Wang
Jianxiong Guo
Weijia Jia
58
7
0
14 Nov 2022
Knowledge Distillation for Federated Learning: a Practical Guide
Knowledge Distillation for Federated Learning: a Practical Guide
Alessio Mora
Irene Tenison
Paolo Bellavista
Irina Rish
FedML
66
31
0
09 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion
Clustered Federated Learning based on Nonconvex Pairwise Fusion
Xue Yu
Ziyi Liu
Wu Wang
Yifan Sun
FedML
79
9
0
08 Nov 2022
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Fan Mo
Mohammad Malekzadeh
S. Chatterjee
F. Kawsar
Akhil Mathur
FedML
163
2
0
08 Nov 2022
FedGrad: Optimisation in Decentralised Machine Learning
FedGrad: Optimisation in Decentralised Machine Learning
Mann Patel
FedML
40
0
0
07 Nov 2022
Over-The-Air Clustered Wireless Federated Learning
Over-The-Air Clustered Wireless Federated Learning
Ayush Madhan-Sohini
Divin Dominic
Nazreen Shah
Ranjitha Prasad
96
3
0
07 Nov 2022
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics
  in Industrial Metaverse
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse
Shenglai Zeng
Zonghang Li
Hongfang Yu
Zhihao Zhang
Long Luo
Yue Liu
Dusit Niyato
105
44
0
07 Nov 2022
Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP
Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP
Shiva Raj Pokhrel
Jinho Choi
A. Walid
56
6
0
03 Nov 2022
A Convergence Theory for Federated Average: Beyond Smoothness
A Convergence Theory for Federated Average: Beyond Smoothness
Xiaoxiao Li
Zhao Song
Runzhou Tao
Guangyi Zhang
FedML
58
5
0
03 Nov 2022
FedTP: Federated Learning by Transformer Personalization
FedTP: Federated Learning by Transformer Personalization
Hongxia Li
Zhongyi Cai
Jingya Wang
Jiangnan Tang
Weiping Ding
Chin-Teng Lin
Ye-ling Shi
FedML
98
66
0
03 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts
FL Games: A Federated Learning Framework for Distribution Shifts
Sharut Gupta
Kartik Ahuja
Mohammad Havaei
N. Chatterjee
Yoshua Bengio
OODFedML
88
18
0
31 Oct 2022
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