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Federated Learning with Non-IID Data

Federated Learning with Non-IID Data

2 June 2018
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
    FedML
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Papers citing "Federated Learning with Non-IID Data"

50 / 448 papers shown
Title
Where to Begin? On the Impact of Pre-Training and Initialization in
  Federated Learning
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
John Nguyen
Jianyu Wang
Kshitiz Malik
Maziar Sanjabi
Michael G. Rabbat
FedML
AI4CE
34
21
0
30 Jun 2022
How to Combine Variational Bayesian Networks in Federated Learning
How to Combine Variational Bayesian Networks in Federated Learning
Atahan Ozer
Kadir Burak Buldu
Abdullah Akgul
Gözde B. Ünal
FedML
38
5
0
22 Jun 2022
Federated Latent Class Regression for Hierarchical Data
Federated Latent Class Regression for Hierarchical Data
Bin Yang
T. Carette
Masanobu Jimbo
Shinya Maruyama
FedML
25
0
0
22 Jun 2022
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
Xinteng Ma
Renyi Bao
Jinpeng Jiang
Yang Liu
Arthur Jiang
Junhua Yan
Xin Liu
Zhisong Pan
FedML
32
6
0
20 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning
On Privacy and Personalization in Cross-Silo Federated Learning
Ziyu Liu
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
34
53
0
16 Jun 2022
Global Convergence of Federated Learning for Mixed Regression
Global Convergence of Federated Learning for Mixed Regression
Lili Su
Jiaming Xu
Pengkun Yang
FedML
38
7
0
15 Jun 2022
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal
  GAN
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN
R. V. Bergen
Jean-Francois Rajotte
F. Yousefirizi
Arman Rahmim
R. Ng
MedIm
28
1
0
13 Jun 2022
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Zijian Li
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jinchao Zhang
FedML
28
39
0
11 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
Daoyuan Chen
Dawei Gao
Weirui Kuang
Yaliang Li
Bolin Ding
FedML
42
64
0
08 Jun 2022
An Adaptive Federated Relevance Framework for Spatial Temporal Graph
  Learning
An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning
Tiehua Zhang
Yuze Liu
Zhishu Shen
Ruiqian Xu
Xin Chen
Xiaowei Huang
Xi Zheng
FedML
AI4TS
40
9
0
07 Jun 2022
An Optimal Transport Approach to Personalized Federated Learning
An Optimal Transport Approach to Personalized Federated Learning
Farzan Farnia
Amirhossein Reisizadeh
Ramtin Pedarsani
Ali Jadbabaie
OT
OOD
FedML
31
12
0
06 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search
A Survey on Computationally Efficient Neural Architecture Search
Shiqing Liu
Haoyu Zhang
Yaochu Jin
40
41
0
03 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning
On the Generalization of Wasserstein Robust Federated Learning
Tung Nguyen
Tuan Dung Nguyen
Long Tan Le
Canh T. Dinh
N. H. Tran
OOD
FedML
34
6
0
03 Jun 2022
Can Foundation Models Help Us Achieve Perfect Secrecy?
Can Foundation Models Help Us Achieve Perfect Secrecy?
Simran Arora
Christopher Ré
FedML
24
6
0
27 May 2022
A Fair Federated Learning Framework With Reinforcement Learning
A Fair Federated Learning Framework With Reinforcement Learning
Yaqi Sun
Shijing Si
Jianzong Wang
Yuhan Dong
Z. Zhu
Jing Xiao
FedML
32
7
0
26 May 2022
Personalized Federated Learning with Server-Side Information
Personalized Federated Learning with Server-Side Information
Jaehun Song
Min Hwan Oh
Hyung-Sin Kim
FedML
35
8
0
23 May 2022
Semi-Decentralized Federated Learning with Collaborative Relaying
Semi-Decentralized Federated Learning with Collaborative Relaying
M. Yemini
R. Saha
Emre Ozfatura
Deniz Gündüz
Andrea J. Goldsmith
FedML
49
32
0
23 May 2022
Federated learning: Applications, challenges and future directions
Federated learning: Applications, challenges and future directions
Subrato Bharati
Hossain Mondal
Prajoy Podder
V. B. Surya Prasath
FedML
39
53
0
18 May 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data
  Heterogeneity in Medical Imaging
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan
Liangqiong Qu
Qingyue Wei
Shih-Cheng Huang
Liyue Shen
D. Rubin
Lei Xing
Yuyin Zhou
FedML
78
90
0
17 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
47
104
0
16 May 2022
FLAD: Adaptive Federated Learning for DDoS Attack Detection
FLAD: Adaptive Federated Learning for DDoS Attack Detection
Roberto Doriguzzi-Corin
Domenico Siracusa
FedML
47
61
0
13 May 2022
Tighter Regret Analysis and Optimization of Online Federated Learning
Tighter Regret Analysis and Optimization of Online Federated Learning
Dohyeok Kwon
Jonghwan Park
Songnam Hong
35
11
0
13 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning
Layer-wised Model Aggregation for Personalized Federated Learning
Xiaosong Ma
Jie Zhang
Song Guo
Wenchao Xu
FedML
33
171
0
09 May 2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance
  Reduction
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction
Junyi Li
Feihu Huang
Heng-Chiao Huang
FedML
28
27
0
03 May 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
Sangmook Kim
Wonyoung Shin
Soohyuk Jang
Hwanjun Song
Se-Young Yun
37
2
0
03 May 2022
A review of Federated Learning in Intrusion Detection Systems for IoT
A review of Federated Learning in Intrusion Detection Systems for IoT
Aitor Belenguer
J. Navaridas
J. A. Pascual
28
15
0
26 Apr 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+
Federated Progressive Sparsification (Purge, Merge, Tune)+
Dimitris Stripelis
Umang Gupta
Greg Ver Steeg
J. Ambite
FedML
28
9
0
26 Apr 2022
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets
Federico Lucchetti
Jérémie Decouchant
Maria Fernandes
L. Chen
Marcus Volp
FedML
19
0
0
23 Apr 2022
A Closer Look at Personalization in Federated Image Classification
A Closer Look at Personalization in Federated Image Classification
Changxing Jing
Yan Huang
Yihong Zhuang
Liyan Sun
Yue Huang
Zhenlong Xiao
Xinghao Ding
42
1
0
22 Apr 2022
Divergence-aware Federated Self-Supervised Learning
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
33
97
0
09 Apr 2022
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a
  Collaborative IoT Intrusion Detection
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection
Mohanad Sarhan
Wai Weng Lo
S. Layeghy
Marius Portmann
28
59
0
08 Apr 2022
CD$^2$-pFed: Cyclic Distillation-guided Channel Decoupling for Model
  Personalization in Federated Learning
CD2^22-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning
Yiqing Shen
Yuyin Zhou
Lequan Yu
OOD
24
55
0
08 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for
  Performance Improvement
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement
Hao Zhang
Tingting Wu
Siyao Cheng
Jie Liu
FedML
40
11
0
07 Apr 2022
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial
  Participation
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation
Han Wang
Siddartha Marella
James Anderson
FedML
19
39
0
28 Mar 2022
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling
  and Correction
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
Liang Gao
Huazhu Fu
Li Li
Yingwen Chen
Minghua Xu
Chengzhong Xu
FedML
40
243
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
28
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
33
11
0
11 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
34
46
0
05 Mar 2022
Robust Federated Learning with Connectivity Failures: A
  Semi-Decentralized Framework with Collaborative Relaying
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying
M. Yemini
R. Saha
Emre Ozfatura
Deniz Gündüz
Andrea J. Goldsmith
FedML
55
8
0
24 Feb 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural
  Architecture Search
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Chunhui Zhang
Xiaoming Yuan
Qianyun Zhang
Guangxu Zhu
Lei Cheng
Ning Zhang
FedML
OOD
33
15
0
23 Feb 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
32
19
0
23 Feb 2022
FLAME: Federated Learning Across Multi-device Environments
FLAME: Federated Learning Across Multi-device Environments
Hyunsung Cho
Akhil Mathur
F. Kawsar
16
21
0
17 Feb 2022
SHED: A Newton-type algorithm for federated learning based on
  incremental Hessian eigenvector sharing
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing
Nicolò Dal Fabbro
S. Dey
M. Rossi
Luca Schenato
FedML
38
14
0
11 Feb 2022
Parallel Successive Learning for Dynamic Distributed Model Training over
  Heterogeneous Wireless Networks
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks
Seyyedali Hosseinalipour
Su Wang
Nicolò Michelusi
Vaneet Aggarwal
Christopher G. Brinton
David J. Love
M. Chiang
28
27
0
07 Feb 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained
  Superclients
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients
Riccardo Zaccone
Andrea Rizzardi
Debora Caldarola
Marco Ciccone
Barbara Caputo
FedML
58
14
0
26 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph
  HyperNetworks
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
Or Litany
Haggai Maron
David Acuna
Jan Kautz
Gal Chechik
Sanja Fidler
FedML
43
24
0
20 Jan 2022
Communication-Efficient Device Scheduling for Federated Learning Using
  Stochastic Optimization
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization
Jake B. Perazzone
Shiqiang Wang
Mingyue Ji
Kevin S. Chan
FedML
24
73
0
19 Jan 2022
A Multi-agent Reinforcement Learning Approach for Efficient Client
  Selection in Federated Learning
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
Shanghang Zhang
Jieyu Lin
Qi Zhang
40
63
0
09 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
17
74
0
05 Jan 2022
Robust Semi-supervised Federated Learning for Images Automatic
  Recognition in Internet of Drones
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones
Zhe Zhang
Shiyao Ma
Zhaohui Yang
Zehui Xiong
Jiawen Kang
Yi Wu
Kejia Zhang
Dusit Niyato
22
35
0
03 Jan 2022
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