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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
Generalizing intrusion detection for heterogeneous networks: A
  stacked-unsupervised federated learning approach
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach
G. Bertoli
Lourencco Alves Pereira Junior
A. Santos
O. Saotome
FedML
80
60
0
01 Sep 2022
To Store or Not? Online Data Selection for Federated Learning with
  Limited Storage
To Store or Not? Online Data Selection for Federated Learning with Limited Storage
Chen Gong
Zhenzhe Zheng
Yunfeng Shao
Bingshuai Li
Fan Wu
Guihai Chen
108
19
0
01 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration
Federated Learning with Label Distribution Skew via Logits Calibration
Jie M. Zhang
Zhiqi Li
Yue Liu
Jianghe Xu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
95
146
0
01 Sep 2022
Non-readily identifiable data collaboration analysis for multiple
  datasets including personal information
Non-readily identifiable data collaboration analysis for multiple datasets including personal information
A. Imakura
T. Sakurai
Yukihiko Okada
Tomoya Fujii
Teppei Sakamoto
Hiroyuki Abe
FedML
62
10
0
31 Aug 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning
  for Click-Through Rate Prediction
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction
Xianghang Liu
Bartlomiej Twardowski
Tri Kurniawan Wijaya
FedML
72
2
0
30 Aug 2022
Reducing Impacts of System Heterogeneity in Federated Learning using
  Weight Update Magnitudes
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes
Irene Wang
78
1
0
30 Aug 2022
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over
  Graphs
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs
Chaouki Ben Issaid
Anis Elgabli
M. Bennis
FedMLOOD
93
5
0
29 Aug 2022
FedEgo: Privacy-preserving Personalized Federated Graph Learning with
  Ego-graphs
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs
Taolin Zhang
Chuan Chen
Yaomin Chang
Lin Shu
Zibin Zheng
FedML
77
16
0
29 Aug 2022
Flexible Vertical Federated Learning with Heterogeneous Parties
Flexible Vertical Federated Learning with Heterogeneous Parties
Timothy Castiglia
Shiqiang Wang
S. Patterson
FedML
128
36
0
26 Aug 2022
Another Use of SMOTE for Interpretable Data Collaboration Analysis
Another Use of SMOTE for Interpretable Data Collaboration Analysis
A. Imakura
Masateru Kihira
Yukihiko Okada
T. Sakurai
34
18
0
26 Aug 2022
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning
  in Federated Learning
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning
Haodong Zhao
Wei Du
Fang Li
Peixuan Li
Gongshen Liu
FedML
71
72
0
25 Aug 2022
Towards Federated Learning against Noisy Labels via Local
  Self-Regularization
Towards Federated Learning against Noisy Labels via Local Self-Regularization
Xue Jiang
Sheng Sun
Yuwei Wang
Min Liu
85
40
0
25 Aug 2022
On Differential Privacy for Federated Learning in Wireless Systems with
  Multiple Base Stations
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations
Nima Tavangaran
Mingzhe Chen
Zhaohui Yang
J. M. B. D. Silva
H. Vincent Poor
FedML
104
5
0
25 Aug 2022
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead
  of Models -- Federated Learning in Age of Foundation Model
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation Model
Tao Guo
Song Guo
Junxiao Wang
Wenchao Xu
FedMLVLMLRM
71
127
0
24 Aug 2022
Federated Learning via Decentralized Dataset Distillation in
  Resource-Constrained Edge Environments
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments
Rui Song
Dai Liu
Da Chen
Andreas Festag
Carsten Trinitis
Martin Schulz
Alois C. Knoll
DDFedML
119
66
0
24 Aug 2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder
  for Dermatological Disease Diagnosis
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yi Sheng
Lei Yang
A. James
Yiyu Shi
Jingtong Hu
99
7
0
24 Aug 2022
Exact Penalty Method for Federated Learning
Exact Penalty Method for Federated Learning
Shenglong Zhou
Geoffrey Ye Li
FedML
70
1
0
23 Aug 2022
FedMCSA: Personalized Federated Learning via Model Components
  Self-Attention
FedMCSA: Personalized Federated Learning via Model Components Self-Attention
Qianling Guo
Yong Qi
Saiyu Qi
Di Wu
Qian Li
FedML
87
9
0
23 Aug 2022
FedOS: using open-set learning to stabilize training in federated
  learning
FedOS: using open-set learning to stabilize training in federated learning
M. Mohamad
Julian Neubert
Juan Segundo Argayo
FedML
98
2
0
22 Aug 2022
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy
  Synthesizing Network
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network
Jingcai Guo
Song Guo
Jie Zhang
Ziming Liu
FedML
89
15
0
21 Aug 2022
Just-in-Time Aggregation for Federated Learning
Just-in-Time Aggregation for Federated Learning
K.R. Jayaram
Ashish Verma
Gegi Thomas
Vinod Muthusamy
FedML
95
6
0
20 Aug 2022
A Review of Federated Learning in Energy Systems
A Review of Federated Learning in Energy Systems
Xu Cheng
Chendan Li
Xiufeng Liu
54
29
0
20 Aug 2022
Federated Select: A Primitive for Communication- and Memory-Efficient
  Federated Learning
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning
Zachary B. Charles
Kallista A. Bonawitz
Stanislav Chiknavaryan
H. B. McMahan
Blaise Agüera y Arcas
FedML
60
13
0
19 Aug 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and
  Multi-Model Fusion
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Duy Phuong Nguyen
Sixing Yu
J. P. Muñoz
Ali Jannesari
FedML
69
13
0
16 Aug 2022
On the Convergence of Multi-Server Federated Learning with Overlapping
  Area
On the Convergence of Multi-Server Federated Learning with Overlapping Area
Zhe Qu
Xingyu Li
Jie Xu
Bo Tang
Zhuo Lu
Yao-Hong Liu
FedML
69
15
0
16 Aug 2022
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in
  Horizontal Federated Learning
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning
Xumeng Wang
Wei Chen
Jiazhi Xia
Zhen Wen
Rongchen Zhu
Tobias Schreck
FedML
53
23
0
16 Aug 2022
Application of federated learning in manufacturing
Application of federated learning in manufacturing
Vinit Hegiste
T. Legler
Martin Ruskowski
FedML
67
17
0
09 Aug 2022
Towards Energy-Aware Federated Learning on Battery-Powered Clients
Towards Energy-Aware Federated Learning on Battery-Powered Clients
Amna Arouj
A. Abdelmoniem
67
28
0
09 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation
Distributed Contrastive Learning for Medical Image Segmentation
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yiyu Shi
Jingtong Hu
FedML
107
51
0
07 Aug 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local
  Sparsity
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
Xinchi Qiu
Javier Fernandez-Marques
Pedro Gusmão
Yan Gao
Titouan Parcollet
Nicholas D. Lane
FedML
83
71
0
04 Aug 2022
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for
  Non-IID Data in Federated Learning
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning
Nang Hung Nguyen
Phi Le Nguyen
D. Nguyen
Trung Thanh Nguyen
Thuy-Dung Nguyen
H. Pham
Truong Thao Nguyen
FedML
110
26
0
04 Aug 2022
Towards Communication-efficient Vertical Federated Learning Training via
  Cache-enabled Local Updates
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates
Fangcheng Fu
Xupeng Miao
Jiawei Jiang
Huanran Xue
Tengjiao Wang
FedML
74
23
0
29 Jul 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Yan Huang
Qihang Lin
N. Street
Stephen Seung-Yeob Baek
FedML
75
9
0
21 Jul 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source
  Frameworks
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks
Xiaoyuan Liu
Tianneng Shi
Chulin Xie
Qinbin Li
Kangping Hu
...
The-Anh Vu-Le
Zhen Huang
Arash Nourian
Yue Liu
Basel Alomair
FedML
105
8
0
21 Jul 2022
FOCUS: Fairness via Agent-Awareness for Federated Learning on
  Heterogeneous Data
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data
Wen-Hsuan Chu
Chulin Xie
Wei Ping
Linyi Li
Lang Yin
Arash Nourian
Hantong Zhao
Yue Liu
FedML
79
13
0
21 Jul 2022
FedDM: Iterative Distribution Matching for Communication-Efficient
  Federated Learning
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
Yuanhao Xiong
Ruochen Wang
Minhao Cheng
Felix X. Yu
Cho-Jui Hsieh
FedMLDD
81
85
0
20 Jul 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
Sungwon Han
Sungwon Park
Fangzhao Wu
Sundong Kim
Chuhan Wu
Xing Xie
M. Cha
FedML
98
58
0
19 Jul 2022
Fast Composite Optimization and Statistical Recovery in Federated
  Learning
Fast Composite Optimization and Statistical Recovery in Federated Learning
Yajie Bao
M. Crawshaw
Sha Luo
Mingrui Liu
FedML
89
17
0
17 Jul 2022
Federated Self-Supervised Learning in Heterogeneous Settings: Limits of
  a Baseline Approach on HAR
Federated Self-Supervised Learning in Heterogeneous Settings: Limits of a Baseline Approach on HAR
Sannara Ek
Romain Rombourg
François Portet
P. Lalanda
FedMLSSL
150
5
0
17 Jul 2022
Federated Learning and catastrophic forgetting in pervasive computing:
  demonstration in HAR domain
Federated Learning and catastrophic forgetting in pervasive computing: demonstration in HAR domain
Anastasiia Usmanova
François Portet
P. Lalanda
Germán Vega
FedML
64
3
0
17 Jul 2022
Multi-Level Branched Regularization for Federated Learning
Multi-Level Branched Regularization for Federated Learning
Jinkyu Kim
Geeho Kim
Bohyung Han
FedML
85
56
0
14 Jul 2022
A Federated Cox Model with Non-Proportional Hazards
A Federated Cox Model with Non-Proportional Hazards
Dekai Zhang
Francesca Toni
Matthew Williams
FedML
116
9
0
11 Jul 2022
Multi-Model Federated Learning with Provable Guarantees
Multi-Model Federated Learning with Provable Guarantees
Neelkamal Bhuyan
Sharayu Moharir
Gauri Joshi
FedML
59
15
0
09 Jul 2022
Smart Multi-tenant Federated Learning
Smart Multi-tenant Federated Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
93
2
0
09 Jul 2022
Defending against the Label-flipping Attack in Federated Learning
Defending against the Label-flipping Attack in Federated Learning
N. Jebreel
J. Domingo-Ferrer
David Sánchez
Alberto Blanco-Justicia
AAML
69
37
0
05 Jul 2022
DP$^2$-NILM: A Distributed and Privacy-preserving Framework for
  Non-intrusive Load Monitoring
DP2^22-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring
Shuang Dai
Fanlin Meng
Qian Wang
Xizhong Chen
42
6
0
30 Jun 2022
Towards Federated Long-Tailed Learning
Towards Federated Long-Tailed Learning
Zihan Chen
Songshan Liu
Hualiang Wang
Howard H. Yang
Tony Q.S. Quek
Zuozhu Liu
FedML
67
10
0
30 Jun 2022
An Empirical Study of Personalized Federated Learning
An Empirical Study of Personalized Federated Learning
Koji Matsuda
Yuya Sasaki
Chuan Xiao
Makoto Onizuka
OODFedML
73
6
0
27 Jun 2022
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with
  Class Imbalance
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance
Meirui Jiang
Hongzheng Yang
Xiaoxiao Li
Quande Liu
Pheng-Ann Heng
Qi Dou
FedML
71
27
0
27 Jun 2022
LightFR: Lightweight Federated Recommendation with Privacy-preserving
  Matrix Factorization
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization
Honglei Zhang
Fangyuan Luo
Jun Wu
Xiangnan He
Yidong Li
82
83
0
23 Jun 2022
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