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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
ArXivPDFHTML

Papers citing "Federated Learning with Non-IID Data"

50 / 409 papers shown
Title
No Fear of Heterogeneity: Classifier Calibration for Federated Learning
  with Non-IID Data
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo
Fei Chen
Dapeng Hu
Yifan Zhang
Jian Liang
Jiashi Feng
FedML
33
328
0
09 Jun 2021
Federated Neural Collaborative Filtering
Federated Neural Collaborative Filtering
V. Perifanis
P. Efraimidis
FedML
15
92
0
02 Jun 2021
Federated Estimation of Causal Effects from Observational Data
Federated Estimation of Causal Effects from Observational Data
Thanh Vinh Vo
T. Hoang
Young Lee
Tze-Yun Leong
FedML
CML
23
13
0
31 May 2021
Concept drift detection and adaptation for federated and continual
  learning
Concept drift detection and adaptation for federated and continual learning
F. Casado
Dylan Lema
Marcos F. Criado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
13
63
0
27 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies
EasyFL: A Low-code Federated Learning Platform For Dummies
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
FedML
27
46
0
17 May 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning
  Convergence Analysis
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis
Baihe Huang
Xiaoxiao Li
Zhao Song
Xin Yang
FedML
31
16
0
11 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
28
86
0
04 May 2021
End-to-End Speech Recognition from Federated Acoustic Models
End-to-End Speech Recognition from Federated Acoustic Models
Yan Gao
Titouan Parcollet
Salah Zaiem
Javier Fernandez-Marques
Pedro Porto Buarque de Gusmão
Daniel J. Beutel
Nicholas D. Lane
28
43
0
29 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional
  Medical Image Segmentation
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
Yingda Xia
Dong Yang
Wenqi Li
Andriy Myronenko
Daguang Xu
...
Elvira Stellato
G. Carrafiello
A. Ierardi
Alan Yuille
H. Roth
OOD
FedML
44
46
0
20 Apr 2021
Privacy-preserving Federated Learning based on Multi-key Homomorphic
  Encryption
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption
Jing Ma
Si-Ahmed Naas
S. Sigg
X. Lyu
29
243
0
14 Apr 2021
Federated Few-Shot Learning with Adversarial Learning
Federated Few-Shot Learning with Adversarial Learning
Chenyou Fan
Jianwei Huang
FedML
13
29
0
01 Apr 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model
  Aggregations
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations
F. Lin
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
FedML
37
109
0
18 Mar 2021
Auction Based Clustered Federated Learning in Mobile Edge Computing
  System
Auction Based Clustered Federated Learning in Mobile Edge Computing System
Renhao Lu
Weizhe Zhang
Qiong Li
Xiaoxiong Zhong
A. Vasilakos
FedML
32
10
0
12 Mar 2021
Personalized Federated Learning using Hypernetworks
Personalized Federated Learning using Hypernetworks
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
FedML
41
324
0
08 Mar 2021
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
T. Bdair
Nassir Navab
Shadi Albarqouni
FedML
21
12
0
05 Mar 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
841
0
01 Mar 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A
  Survey for Machine Learning Security to Securing Machine Learning for CPS
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS
Felix O. Olowononi
D. Rawat
Chunmei Liu
34
132
0
14 Feb 2021
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy
Ajesh Koyatan Chathoth
Abhyuday N. Jagannatha
Stephen Lee
23
13
0
25 Jan 2021
Bandwidth Allocation for Multiple Federated Learning Services in
  Wireless Edge Networks
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks
Jie Xu
Heqiang Wang
Lixing Chen
FedML
56
43
0
10 Jan 2021
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts
Binbin Guo
Yuan Mei
Danyang Xiao
Weigang Wu
Ye Yin
Hongli Chang
MoE
47
22
0
31 Dec 2020
Decentralized Federated Learning via Mutual Knowledge Transfer
Decentralized Federated Learning via Mutual Knowledge Transfer
Chengxi Li
Gang Li
P. Varshney
FedML
26
106
0
24 Dec 2020
Fairness and Accuracy in Federated Learning
Fairness and Accuracy in Federated Learning
Wei Huang
Tianrui Li
Dexian Wang
Shengdong Du
Junbo Zhang
FedML
39
52
0
18 Dec 2020
FedADC: Accelerated Federated Learning with Drift Control
FedADC: Accelerated Federated Learning with Drift Control
Emre Ozfatura
Kerem Ozfatura
Deniz Gunduz
FedML
43
37
0
16 Dec 2020
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home
  Health Monitoring
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring
Qiong Wu
Xu Chen
Zhi Zhou
Junshan Zhang
FedML
161
271
0
14 Dec 2020
FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in
  Industrial IoT
FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT
J. Li
Lingjuan Lyu
X. Liu
X. Zhang
X. Lyu
19
113
0
11 Dec 2020
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning
  on Non-IID Data
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data
N. Mhaisen
Alaa Awad
Amr M. Mohamed
A. Erbad
Mohsen Guizani
FedML
50
12
0
10 Dec 2020
Accurate and Fast Federated Learning via IID and Communication-Aware
  Grouping
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping
Jin-Woo Lee
Jaehoon Oh
Yooju Shin
Jae-Gil Lee
Seyoul Yoon
FedML
80
16
0
09 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node
  Classification on Graphs
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Binghui Wang
Ang Li
H. Li
Yiran Chen
88
116
0
08 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated
  Learning
Design and Analysis of Uplink and Downlink Communications for Federated Learning
Sihui Zheng
Cong Shen
Xiang Chen
39
140
0
07 Dec 2020
Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT
  Networks
Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks
Yong Xiao
Yingyu Li
Guangming Shi
H. Vincent Poor
14
20
0
25 Nov 2020
Advancements of federated learning towards privacy preservation: from
  federated learning to split learning
Advancements of federated learning towards privacy preservation: from federated learning to split learning
Chandra Thapa
Pathum Chamikara Mahawaga Arachchige
S. Çamtepe
FedML
22
82
0
25 Nov 2020
Federated learning with class imbalance reduction
Federated learning with class imbalance reduction
Miao Yang
Akitanoshou Wong
Hongbin Zhu
Haifeng Wang
H. Qian
FedML
14
121
0
23 Nov 2020
CatFedAvg: Optimising Communication-efficiency and Classification
  Accuracy in Federated Learning
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning
D. Sarkar
Sumit Rai
Ankur Narang
FedML
23
2
0
14 Nov 2020
Heterogeneous Data-Aware Federated Learning
Heterogeneous Data-Aware Federated Learning
Lixuan Yang
Cedric Beliard
Dario Rossi
FedML
31
17
0
12 Nov 2020
Coded Computing for Low-Latency Federated Learning over Wireless Edge
  Networks
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
Saurav Prakash
S. Dhakal
M. Akdeniz
Yair Yona
S. Talwar
Salman Avestimehr
N. Himayat
FedML
24
92
0
12 Nov 2020
Real-Time Decentralized knowledge Transfer at the Edge
Real-Time Decentralized knowledge Transfer at the Edge
Orpaz Goldstein
Mohammad Kachuee
Dereck Shiell
Majid Sarrafzadeh
14
1
0
11 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network
ASFGNN: Automated Separated-Federated Graph Neural Network
Longfei Zheng
Jun Zhou
Chaochao Chen
Bingzhe Wu
L. xilinx Wang
Benyu Zhang
FedML
GNN
28
71
0
06 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and
  Models
Resource-Constrained Federated Learning with Heterogeneous Labels and Models
Gautham Krishna Gudur
B. Balaji
S. K. Perepu
FedML
8
19
0
06 Nov 2020
Blind Federated Edge Learning
Blind Federated Edge Learning
M. Amiri
T. Duman
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
78
92
0
19 Oct 2020
Federated Unsupervised Representation Learning
Federated Unsupervised Representation Learning
Fengda Zhang
Kun Kuang
Zhaoyang You
T. Shen
Jun Xiao
Yin Zhang
Chao-Xiang Wu
Yueting Zhuang
Xiaolin Li
FedML
28
134
0
18 Oct 2020
FedGroup: Efficient Clustered Federated Learning via Decomposed
  Data-Driven Measure
FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure
Moming Duan
Duo Liu
Xinyuan Ji
Renping Liu
Liang Liang
Xianzhang Chen
Yujuan Tan
FedML
19
61
0
14 Oct 2020
Can Federated Learning Save The Planet?
Can Federated Learning Save The Planet?
Xinchi Qiu
Titouan Parcollet
Daniel J. Beutel
Taner Topal
Akhil Mathur
Nicholas D. Lane
23
79
0
13 Oct 2020
Federated Learning via Posterior Averaging: A New Perspective and
  Practical Algorithms
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Maruan Al-Shedivat
Jennifer Gillenwater
Eric P. Xing
Afshin Rostamizadeh
FedML
25
109
0
11 Oct 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Filip Hanzely
Slavomír Hanzely
Samuel Horváth
Peter Richtárik
FedML
50
186
0
05 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for
  Heterogeneous Clients
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Enmao Diao
Jie Ding
Vahid Tarokh
FedML
46
544
0
03 Oct 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed
  Non-i.i.d. Data
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data
Jie Peng
Zhaoxian Wu
Qing Ling
Tianyi Chen
OOD
FedML
26
23
0
17 Sep 2020
Distilled One-Shot Federated Learning
Distilled One-Shot Federated Learning
Yanlin Zhou
George Pu
Xiyao Ma
Xiaolin Li
D. Wu
FedML
DD
53
158
0
17 Sep 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning
POSEIDON: Privacy-Preserving Federated Neural Network Learning
Sinem Sav
Apostolos Pyrgelis
J. Troncoso-Pastoriza
D. Froelicher
Jean-Philippe Bossuat
João Sá Sousa
Jean-Pierre Hubaux
FedML
11
153
0
01 Sep 2020
Federated Edge Learning : Design Issues and Challenges
Federated Edge Learning : Design Issues and Challenges
Afaf Taik
Soumaya Cherkaoui
FedML
18
62
0
31 Aug 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for
  Data and Parameters
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters
Filip Hanzely
34
0
0
26 Aug 2020
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