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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 / 409 papers shown
Title
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
42
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
45
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
42
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
28
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
170
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
22
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
23
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
38
1
0
22 Apr 2022
Divergence-aware Federated Self-Supervised Learning
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
25
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
23
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
38
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
14
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
28
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
24
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
48
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
17
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
27
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
29
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
23
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
38
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
21
72
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
S. Zhang
Jieyu Lin
Qi Zhang
35
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 Convergence in Federated Learning through Label-wise Clustering
Robust Convergence in Federated Learning through Label-wise Clustering
Hunmin Lee
Yueyang Liu
Donghyun Kim
Yingshu Li
FedML
25
1
0
28 Dec 2021
FedFR: Joint Optimization Federated Framework for Generic and
  Personalized Face Recognition
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
Chih-Ting Liu
Chien-Yi Wang
Shao-Yi Chien
S. Lai
FedML
19
36
0
23 Dec 2021
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social
  Influence
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence
V. Perifanis
George Drosatos
Giorgos Stamatelatos
P. Efraimidis
27
57
0
21 Dec 2021
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on
  Heterogeneous Medical Images
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
Meirui Jiang
Zirui Wang
Qi Dou
FedML
33
123
0
20 Dec 2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
Yi Zhou
Parikshit Ram
Theodoros Salonidis
Nathalie Baracaldo
Horst Samulowitz
Heiko Ludwig
AI4CE
37
25
0
15 Dec 2021
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with
  Sparsification
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification
Ashwinee Panda
Saeed Mahloujifar
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
FedML
AAML
17
85
0
12 Dec 2021
Improving Performance of Federated Learning based Medical Image Analysis
  in Non-IID Settings using Image Augmentation
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation
Alper Cetinkaya
M. Akin
Ş. Sağiroğlu
OOD
FedML
27
16
0
12 Dec 2021
FedRAD: Federated Robust Adaptive Distillation
FedRAD: Federated Robust Adaptive Distillation
Stefán Páll Sturluson
Samuel Trew
Luis Muñoz-González
Matei Grama
Jonathan Passerat-Palmbach
Daniel Rueckert
A. Alansary
FedML
21
17
0
02 Dec 2021
The Impact of Data Distribution on Fairness and Robustness in Federated
  Learning
The Impact of Data Distribution on Fairness and Robustness in Federated Learning
Mustafa Safa Ozdayi
Murat Kantarcioglu
FedML
OOD
24
4
0
29 Nov 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
Resource-Aware Asynchronous Online Federated Learning for Nonlinear
  Regression
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression
François Gauthier
Vinay Chakravarthi Gogineni
Stefan Werner
Yih-Fang Huang
A. Kuh
FedML
16
9
0
27 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
36
76
0
26 Nov 2021
On-Demand Unlabeled Personalized Federated Learning
On-Demand Unlabeled Personalized Federated Learning
Ohad Amosy
G. Eyal
Gal Chechik
FedML
36
2
0
16 Nov 2021
An Energy Consumption Model for Electrical Vehicle Networks via Extended
  Federated-learning
An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning
Shiliang Zhang
13
2
0
13 Nov 2021
DQRE-SCnet: A novel hybrid approach for selecting users in Federated
  Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering
DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering
Mohsen Ahmadi
Ali Taghavirashidizadeh
D. Javaheri
Armin Masoumian
Saeid Jafarzadeh Ghoushchi
Y. Pourasad
FedML
27
60
0
07 Nov 2021
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning
  for Network Intrusion Detection
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection
Mohanad Sarhan
S. Layeghy
Nour Moustafa
Marius Portmann
FedML
17
72
0
04 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling
FedGraph: Federated Graph Learning with Intelligent Sampling
Fahao Chen
Peng Li
T. Miyazaki
Celimuge Wu
FedML
19
78
0
02 Nov 2021
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