ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.11089
  4. Cited By
Real-World Image Datasets for Federated Learning

Real-World Image Datasets for Federated Learning

14 October 2019
Jiahuan Luo
Xueyang Wu
Yu Luo
Anbu Huang
Yunfeng Huang
Yang Liu
Qiang Yang
    FedML
ArXivPDFHTML

Papers citing "Real-World Image Datasets for Federated Learning"

41 / 41 papers shown
Title
FeDETR: a Federated Approach for Stenosis Detection in Coronary
  Angiography
FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography
Raffaele Mineo
Amelia Sorrenti
Federica Proietto Salanitri
MedIm
27
0
0
21 Sep 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via
  Aggregated Parameterized Scaler
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
Hongyi Peng
Han Yu
Xiaoli Tang
Xiaoxiao Li
47
3
0
24 May 2024
Mobile Application for Oral Disease Detection using Federated Learning
Mobile Application for Oral Disease Detection using Federated Learning
V. ShankaraNarayanan
M. SnehaVarsha
Syed Ashfaq Ahmed
J. Guruprakash
FedML
11
2
0
27 Oct 2023
Federated Learning for Computer Vision
Federated Learning for Computer Vision
Yassine Himeur
Iraklis Varlamis
Hamza Kheddar
Abbes Amira
Shadi Atalla
Yashbir Singh
F. Bensaali
W. Mansoor
FedML
26
20
0
24 Aug 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
39
244
0
20 Jul 2023
Federated Object Detection for Quality Inspection in Shared Production
Federated Object Detection for Quality Inspection in Shared Production
Vinit Hegiste
T. Legler
Martin Ruskowski
FedML
14
4
0
30 Jun 2023
NIPD: A Federated Learning Person Detection Benchmark Based on
  Real-World Non-IID Data
NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data
Kangning Yin
Zhen Ding
Zhi-hua Dong
Dongsheng Chen
Jie Fu
Xinhui Ji
Guangqiang Yin
Zhiguo Wang
17
3
0
28 Jun 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in
  Road Traffic Systems
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems
Rui Song
Runsheng Xu
Andreas Festag
Jiaqi Ma
Alois C. Knoll
FedML
28
25
0
04 Apr 2023
A Privacy Preserving System for Movie Recommendations Using Federated
  Learning
A Privacy Preserving System for Movie Recommendations Using Federated Learning
David Neumann
Andreas Lutz
Karsten Müller
Wojciech Samek
18
10
0
07 Mar 2023
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in
  Realistic Healthcare Settings
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Jean Ogier du Terrail
Samy Ayed
Edwige Cyffers
Felix Grimberg
Chaoyang He
...
Sai Praneeth Karimireddy
Marco Lorenzi
Giovanni Neglia
Marc Tommasi
M. Andreux
FedML
38
142
0
10 Oct 2022
Comparison of Object Detection Algorithms for Street-level Objects
Comparison of Object Detection Algorithms for Street-level Objects
Martinus Grady Naftali
Jason Sebastian Sulistyawan
Kelvin Julian
ObjD
13
7
0
24 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
64
24
0
04 Aug 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in
  Federated Learning
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
Zhenheng Tang
Yonggang Zhang
S. Shi
Xinfu He
Bo Han
X. Chu
FedML
30
73
0
06 Jun 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness
CalFAT: Calibrated Federated Adversarial Training with Label Skewness
Chen Chen
Yuchen Liu
Xingjun Ma
Lingjuan Lyu
FedML
164
32
0
30 May 2022
Optimizing Performance of Federated Person Re-identification:
  Benchmarking and Analysis
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
FedML
66
25
0
24 May 2022
Divergence-aware Federated Self-Supervised Learning
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
22
97
0
09 Apr 2022
Privacy-Preserving Aggregation in Federated Learning: A Survey
Privacy-Preserving Aggregation in Federated Learning: A Survey
Ziyao Liu
Jiale Guo
Wenzhuo Yang
Jiani Fan
Kwok-Yan Lam
Jun Zhao
FedML
29
87
0
31 Mar 2022
Personalized Federated Learning With Graph
Personalized Federated Learning With Graph
Fengwen Chen
Guodong Long
Zonghan Wu
Tianyi Zhou
Jing Jiang
FedML
25
52
0
02 Mar 2022
On the Convergence of Clustered Federated Learning
On the Convergence of Clustered Federated Learning
Ma Jie
Guodong Long
Dinesh Manocha
Jing Jiang
Chengqi Zhang
FedML
36
46
0
13 Feb 2022
Data Heterogeneity-Robust Federated Learning via Group Client Selection
  in Industrial IoT
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT
Zonghang Li
Yihong He
Hongfang Yu
Jiawen Kang
Xiaoping Li
Zenglin Xu
Dusit Niyato
FedML
8
92
0
03 Feb 2022
Decentralized Unsupervised Learning of Visual Representations
Decentralized Unsupervised Learning of Visual Representations
Yawen Wu
Zhepeng Wang
Dewen Zeng
Meng Li
Yiyu Shi
Jingtong Hu
SSL
29
23
0
21 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and
  In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
C. Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
36
50
0
09 Nov 2021
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups
A. Wainakh
Ephraim Zimmer
Sandeep Subedi
Jens Keim
Tim Grube
Shankar Karuppayah
Alejandro Sánchez Guinea
Max Mühlhäuser
17
9
0
05 Nov 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization
Guodong Long
Ming Xie
Tao Shen
Dinesh Manocha
Xianzhi Wang
Jing Jiang
Chengqi Zhang
FedML
32
242
0
19 Aug 2021
Collaborative Unsupervised Visual Representation Learning from
  Decentralized Data
Collaborative Unsupervised Visual Representation Learning from Decentralized Data
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
Shuai Yi
FedML
19
98
0
14 Aug 2021
Federated Learning on Non-IID Data: A Survey
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu
Jinjin Xu
Shiqing Liu
Yaochu Jin
OOD
FedML
34
768
0
12 Jun 2021
Towards Unsupervised Domain Adaptation for Deep Face Recognition under
  Privacy Constraints via Federated Learning
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning
Weiming Zhuang
Xin Gan
Yonggang Wen
Xuesen Zhang
Shuai Zhang
Shuai Yi
FedML
CVBM
38
14
0
17 May 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
153
459
0
01 May 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
Auto-weighted Robust Federated Learning with Corrupted Data Sources
Auto-weighted Robust Federated Learning with Corrupted Data Sources
Shenghui Li
Edith C. H. Ngai
Fanghua Ye
Thiemo Voigt
FedML
19
28
0
14 Jan 2021
A Systematic Literature Review on Federated Learning: From A Model
  Quality Perspective
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective
Yi Liu
Li Zhang
Ning Ge
Guanghao Li
FedML
28
22
0
01 Dec 2020
An improved helmet detection method for YOLOv3 on an unbalanced dataset
An improved helmet detection method for YOLOv3 on an unbalanced dataset
Rui Geng
Yixuan Ma
Wanhong Huang
14
14
0
09 Nov 2020
Oort: Efficient Federated Learning via Guided Participant Selection
Oort: Efficient Federated Learning via Guided Participant Selection
Fan Lai
Xiangfeng Zhu
H. Madhyastha
Mosharaf Chowdhury
FedML
OODD
19
226
0
12 Oct 2020
Performance Optimization for Federated Person Re-identification via
  Benchmark Analysis
Performance Optimization for Federated Person Re-identification via Benchmark Analysis
Weiming Zhuang
Yonggang Wen
Xuesen Zhang
Xin Gan
Daiying Yin
Dongzhan Zhou
Shuai Zhang
Shuai Yi
FedML
76
95
0
26 Aug 2020
FLBench: A Benchmark Suite for Federated Learning
FLBench: A Benchmark Suite for Federated Learning
Yuan Liang
Yange Guo
Yanxia Gong
Chunjie Luo
Jianfeng Zhan
Yunyou Huang
FedML
19
10
0
17 Aug 2020
FedOCR: Communication-Efficient Federated Learning for Scene Text
  Recognition
FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition
Wenqing Zhang
Yang Qiu
S. Bai
Rui Zhang
Xiaolin K. Wei
X. Bai
FedML
21
2
0
22 Jul 2020
The OARF Benchmark Suite: Characterization and Implications for
  Federated Learning Systems
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
Sixu Hu
Yuan N. Li
Xu Liu
Yue Liu
Zhaomin Wu
Bingsheng He
FedML
18
53
0
14 Jun 2020
Federated Visual Classification with Real-World Data Distribution
Federated Visual Classification with Real-World Data Distribution
T. Hsu
Qi
Matthew Brown
FedML
22
198
0
18 Mar 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
74
6,069
0
10 Dec 2019
The Non-IID Data Quagmire of Decentralized Machine Learning
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh
Amar Phanishayee
O. Mutlu
Phillip B. Gibbons
6
556
0
01 Oct 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for
  Data Privacy and Protection
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Yue Liu
Zeyi Wen
Zhaomin Wu
Sixu Hu
Naibo Wang
Yuan N. Li
Xu Liu
Bingsheng He
FedML
37
968
0
23 Jul 2019
1