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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
What Do We Mean by Generalization in Federated Learning?
What Do We Mean by Generalization in Federated Learning?
Honglin Yuan
Warren Morningstar
Lin Ning
K. Singhal
OOD
FedML
41
71
0
27 Oct 2021
Semi-Supervised Federated Learning with non-IID Data: Algorithm and
  System Design
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design
Zhe Zhang
Shiyao Ma
Jiangtian Nie
Yi Wu
Qiang Yan
Xiaoke Xu
Dusit Niyato
FedML
18
16
0
26 Oct 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Lokesh Nagalapatti
Mahdi S. Hosseini
FedML
27
75
0
23 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
28
94
0
22 Oct 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d.
  Environments
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken
M. Vos
J. Pouwelse
31
4
0
21 Oct 2021
Evaluation of Hyperparameter-Optimization Approaches in an Industrial
  Federated Learning System
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System
Stephan Holly
Thomas Hiessl
Safoura Rezapour Lakani
Daniel Schall
C. Heitzinger
J. Kemnitz
FedML
42
17
0
15 Oct 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data:
  Formulation and Analysis
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis
Yi Liu
Yuanshao Zhu
James J. Q. Yu
FedML
27
28
0
14 Oct 2021
Dual Attention-Based Federated Learning for Wireless Traffic Prediction
Dual Attention-Based Federated Learning for Wireless Traffic Prediction
Chuanting Zhang
Shuping Dang
B. Shihada
Mohamed-Slim Alouini
23
84
0
11 Oct 2021
Learning, Computing, and Trustworthiness in Intelligent IoT
  Environments: Performance-Energy Tradeoffs
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
B. Soret
L. Nguyen
J. Seeger
Arne Bröring
Chaouki Ben Issaid
S. Samarakoon
Anis El Gabli
V. Kulkarni
M. Bennis
P. Popovski
31
13
0
04 Oct 2021
A Deep Learning Perspective on Connected Automated Vehicle (CAV)
  Cybersecurity and Threat Intelligence
A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence
M. Basnet
Mohd. Hasan Ali
26
7
0
22 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning
Connecting Low-Loss Subspace for Personalized Federated Learning
S. Hahn
Minwoo Jeong
Junghye Lee
FedML
24
18
0
16 Sep 2021
Source Inference Attacks in Federated Learning
Source Inference Attacks in Federated Learning
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Xuyun Zhang
27
79
0
13 Sep 2021
FedTriNet: A Pseudo Labeling Method with Three Players for Federated
  Semi-supervised Learning
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning
Liwei Che
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
FedML
27
23
0
12 Sep 2021
Multimodal Federated Learning on IoT Data
Multimodal Federated Learning on IoT Data
Yuchen Zhao
Payam Barnaghi
Hamed Haddadi
13
74
0
10 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
FedML
48
22
0
09 Sep 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained
  Federated Learning with Heterogeneous On-Device Models
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models
Lan Zhang
Dapeng Wu
Xiaoyong Yuan
FedML
38
47
0
08 Sep 2021
Byzantine-Robust Federated Learning via Credibility Assessment on
  Non-IID Data
Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data
Kun Zhai
Qiang Ren
Junli Wang
Chungang Yan
18
11
0
06 Sep 2021
Federated Learning for Open Banking
Federated Learning for Open Banking
Guodong Long
Yue Tan
Jing Jiang
Chengqi Zhang
AIFin
FedML
46
275
0
24 Aug 2021
Data-Free Evaluation of User Contributions in Federated Learning
Data-Free Evaluation of User Contributions in Federated Learning
Hongtao Lv
Zhenzhe Zheng
Tie-Mei Luo
Fan Wu
Shaojie Tang
Lifeng Hua
Rongfei Jia
Chengfei Lv
FedML
15
23
0
24 Aug 2021
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless
  Networks
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks
Chenyuan Feng
H. Yang
Deshun Hu
Zhiwei Zhao
Tony Q.S. Quek
Geyong Min
36
74
0
20 Aug 2021
Towards More Efficient Federated Learning with Better Optimization
  Objects
Towards More Efficient Federated Learning with Better Optimization Objects
Zirui Zhu
Ziyi Ye
FedML
18
0
0
19 Aug 2021
Federated Variational Learning for Anomaly Detection in Multivariate
  Time Series
Federated Variational Learning for Anomaly Detection in Multivariate Time Series
Kai Zhang
Yushan Jiang
Lee M. Seversky
Chengtao Xu
Dahai Liu
Haoze Song
AI4TS
14
26
0
18 Aug 2021
Aggregation Delayed Federated Learning
Aggregation Delayed Federated Learning
Ye Xue
Diego Klabjan
Yuan Luo
FedML
OOD
28
5
0
17 Aug 2021
Client Selection Approach in Support of Clustered Federated Learning
  over Wireless Edge Networks
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks
A. Albaseer
M. Abdallah
Ala I. Al-Fuqaha
A. Erbad
25
32
0
16 Aug 2021
Dynamic Attention-based Communication-Efficient Federated Learning
Dynamic Attention-based Communication-Efficient Federated Learning
Zihan Chen
Kai Fong Ernest Chong
Tony Q.S. Quek
FedML
50
11
0
12 Aug 2021
The Effect of Training Parameters and Mechanisms on Decentralized
  Federated Learning based on MNIST Dataset
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset
Zhuofan Zhang
Mi Zhou
K. Niu
C. Abdallah
FedML
44
1
0
07 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated
  Learning
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning
Xubo Yue
Maher Nouiehed
Raed Al Kontar
FedML
27
37
0
05 Aug 2021
Evaluating Federated Learning for Intrusion Detection in Internet of
  Things: Review and Challenges
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges
Enrique Mármol Campos
Pablo Fernández Saura
Aurora González-Vidal
José Luis Hernández Ramos
Jorge Bernal Bernabé
G. Baldini
A. Gómez-Skarmeta
41
149
0
02 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism
  with Convergence Guarantee
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
Chunjiang Che
Xiaoli Li
Chuan Chen
Xiaoyu He
Zibin Zheng
FedML
33
72
0
01 Aug 2021
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on
  Communication Efficiency and Trustworthiness
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness
Yuwei Sun
H. Ochiai
Hiroshi Esaki
FedML
74
45
0
30 Jul 2021
Federated Learning Meets Natural Language Processing: A Survey
Federated Learning Meets Natural Language Processing: A Survey
Ming Liu
Stella Ho
Mengqi Wang
Longxiang Gao
Yuan Jin
Heng Zhang
FedML
25
67
0
27 Jul 2021
Communication Efficiency in Federated Learning: Achievements and
  Challenges
Communication Efficiency in Federated Learning: Achievements and Challenges
Osama Shahid
Seyedamin Pouriyeh
R. Parizi
Quan Z. Sheng
Gautam Srivastava
Liang Zhao
FedML
40
74
0
23 Jul 2021
Precision-Weighted Federated Learning
Precision-Weighted Federated Learning
Jonatan Reyes
Di-Jorio Lisa
Cécile Low-Kam
Marta Kersten-Oertel
FedML
16
35
0
20 Jul 2021
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated
  Learning
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning
Shaashwat Agrawal
Sagnik Sarkar
M. Alazab
Praveen Kumar Reddy Maddikunta
Thippa Reddy Gadekallu
Viet Quoc Pham
FedML
19
51
0
15 Jul 2021
Communication-Efficient Hierarchical Federated Learning for IoT
  Heterogeneous Systems with Imbalanced Data
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
A. Abdellatif
N. Mhaisen
Amr M. Mohamed
A. Erbad
Mohsen Guizani
Z. Dawy
W. Nasreddine
FedML
58
93
0
14 Jul 2021
Towards Representation Identical Privacy-Preserving Graph Neural Network
  via Split Learning
Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning
Chuanqiang Shan
Hui Jiao
Jie Fu
21
14
0
13 Jul 2021
Management of Resource at the Network Edge for Federated Learning
Management of Resource at the Network Edge for Federated Learning
Silvana Trindade
L. Bittencourt
N. Fonseca
22
6
0
07 Jul 2021
SplitAVG: A heterogeneity-aware federated deep learning method for
  medical imaging
SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging
Miao Zhang
Liangqiong Qu
Praveer Singh
Jayashree Kalpathy-Cramer
D. Rubin
OOD
FedML
26
62
0
06 Jul 2021
Gradient-Leakage Resilient Federated Learning
Gradient-Leakage Resilient Federated Learning
Wenqi Wei
Ling Liu
Yanzhao Wu
Gong Su
Arun Iyengar
FedML
19
81
0
02 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image
  Classification
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen
Wei-Lun Chao
FedML
22
21
0
02 Jul 2021
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
Tehrim Yoon
Sumin Shin
Sung Ju Hwang
Eunho Yang
FedML
27
164
0
01 Jul 2021
Personalized Federated Learning with Gaussian Processes
Personalized Federated Learning with Gaussian Processes
Idan Achituve
Aviv Shamsian
Aviv Navon
Gal Chechik
Ethan Fetaya
FedML
32
99
0
29 Jun 2021
Benchmarking Differential Privacy and Federated Learning for BERT Models
Benchmarking Differential Privacy and Federated Learning for BERT Models
Priya Basu
Tiasa Singha Roy
Rakshit Naidu
Zumrut Muftuoglu
Sahib Singh
Fatemehsadat Mireshghallah
FedML
AI4MH
24
49
0
26 Jun 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors
  for Federated Learning
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
Hua Huang
Fanhua Shang
Yuanyuan Liu
Hongying Liu
FedML
27
14
0
23 Jun 2021
FLRA: A Reference Architecture for Federated Learning Systems
FLRA: A Reference Architecture for Federated Learning Systems
Sin Kit Lo
Qinghua Lu
Hye-Young Paik
Liming Zhu
FedML
AI4CE
47
24
0
22 Jun 2021
FedCM: Federated Learning with Client-level Momentum
FedCM: Federated Learning with Client-level Momentum
Jing Xu
Sen Wang
Liwei Wang
Andrew Chi-Chih Yao
FedML
30
94
0
21 Jun 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
Chulin Xie
Minghao Chen
Pin-Yu Chen
Bo-wen Li
FedML
36
164
0
15 Jun 2021
Joint Client Scheduling and Resource Allocation under Channel
  Uncertainty in Federated Learning
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning
Madhusanka Manimel Wadu
S. Samarakoon
M. Bennis
18
51
0
12 Jun 2021
Federated Learning with Spiking Neural Networks
Federated Learning with Spiking Neural Networks
Yeshwanth Venkatesha
Youngeun Kim
Leandros Tassiulas
Priyadarshini Panda
FedML
33
47
0
11 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in
  Federated Learning
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
Liangqiong Qu
Yuyin Zhou
Paul Pu Liang
Yingda Xia
Feifei Wang
Ehsan Adeli
L. Fei-Fei
D. Rubin
FedML
AI4CE
19
175
0
10 Jun 2021
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