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. 2308.13558
  4. Cited By
Federated Learning for Computer Vision

Federated Learning for Computer Vision

24 August 2023
Yassine Himeur
Iraklis Varlamis
Hamza Kheddar
Abbes Amira
Shadi Atalla
Yashbir Singh
F. Bensaali
W. Mansoor
    FedML
ArXivPDFHTML

Papers citing "Federated Learning for Computer Vision"

50 / 77 papers shown
Title
Enhancing Cochlear Implant Signal Coding with Scaled Dot-Product Attention
Enhancing Cochlear Implant Signal Coding with Scaled Dot-Product Attention
Billel Essaid
Hamza Kheddar
N. Batel
86
1
0
26 Apr 2025
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Yassine Habchi
Hamza Kheddar
Yassine Himeur
Adel Belouchrani
Erchin Serpedin
Fouad Khelifi
Muhammad E.H. Chowdhury
LM&MA
109
0
0
30 Mar 2025
A Survey on Decentralized Federated Learning
A Survey on Decentralized Federated Learning
Edoardo Gabrielli
Giovanni Pica
Gabriele Tolomei
FedML
35
26
0
08 Aug 2023
Deep Learning for Steganalysis of Diverse Data Types: A review of
  methods, taxonomy, challenges and future directions
Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions
Hamza Kheddar
Mustapha Hemis
Yassine Himeur
David Megías
Abbes Amira
AAML
67
37
0
08 Aug 2023
Novel Area-Efficient and Flexible Architectures for Optimal Ate Pairing
  on FPGA
Novel Area-Efficient and Flexible Architectures for Optimal Ate Pairing on FPGA
Oussama Azzouzi
M. Anane
M. Koudil
M. Issad
Yassine Himeur
8
6
0
08 Aug 2023
Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges,
  and Possible Future Directions
Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions
S. Sohail
Faiza Farhat
Yassine Himeur
Mohammad Nadeem
D. Madsen
Yashbir Singh
Shadi Atalla
W. Mansoor
52
118
0
26 Jul 2023
ECG classification using Deep CNN and Gramian Angular Field
ECG classification using Deep CNN and Gramian Angular Field
Y. Elmir
Yassine Himeur
Abbes Amira
98
10
0
25 Jul 2023
Improving CNN-based Person Re-identification using score Normalization
Improving CNN-based Person Re-identification using score Normalization
Ammar Chouchane
A. Ouamane
Yassine Himeur
W. Mansoor
Shadi Atalla
Afaf Benzaibak
Chahrazed Boudellal
73
18
0
01 Jul 2023
Deep Transfer Learning for Automatic Speech Recognition: Towards Better
  Generalization
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization
Hamza Kheddar
Yassine Himeur
S. Al-Maadeed
Abbes Amira
F. Bensaali
78
81
0
27 Apr 2023
Crossing Roads of Federated Learning and Smart Grids: Overview,
  Challenges, and Perspectives
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives
Hafsa Bousbiat
Roumaysa Bousselidj
Yassine Himeur
Abbes Amira
F. Bensaali
F. Fadli
W. Mansoor
W. Elmenreich
40
9
0
17 Apr 2023
A Hybrid Self-Supervised Learning Framework for Vertical Federated
  Learning
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning
Yuanqin He
Yan Kang
Xinyuan Zhao
Jiahuan Luo
Lixin Fan
Yuxing Han
Qiang Yang
FedML
46
24
0
18 Aug 2022
Federated Self-supervised Learning for Video Understanding
Federated Self-supervised Learning for Video Understanding
Yasar Abbas Ur Rehman
Yan Gao
Jiajun Shen
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
68
15
0
05 Jul 2022
Efficient Federated Learning with Spike Neural Networks for Traffic Sign
  Recognition
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition
Kan Xie
Zhe Zhang
Bo Li
Jiawen Kang
Dusit Niyato
Shengli Xie
Yi Wu
27
67
0
28 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
104
95
0
17 May 2022
Divergence-aware Federated Self-Supervised Learning
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
79
100
0
09 Apr 2022
SPAct: Self-supervised Privacy Preservation for Action Recognition
SPAct: Self-supervised Privacy Preservation for Action Recognition
I. Dave
Chong Chen
M. Shah
PICV
37
56
0
29 Mar 2022
Federated Cycling (FedCy): Semi-supervised Federated Learning of
  Surgical Phases
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases
Hasan Kassem
Deepak Alapatt
Pietro Mascagni
AI4SafeChole Consortium
Alexandros Karargyris
N. Padoy
FedML
53
41
0
14 Mar 2022
Privacy Leakage of Adversarial Training Models in Federated Learning
  Systems
Privacy Leakage of Adversarial Training Models in Federated Learning Systems
Jingyang Zhang
Yiran Chen
Hai Helen Li
FedML
PICV
124
16
0
21 Feb 2022
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
98
127
0
20 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
32
17
0
12 Dec 2021
Local Learning Matters: Rethinking Data Heterogeneity in Federated
  Learning
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
Matías Mendieta
Taojiannan Yang
Pu Wang
Minwoo Lee
Zhengming Ding
Chong Chen
FedML
88
162
0
28 Nov 2021
Blockchain-based Recommender Systems: Applications, Challenges and
  Future Opportunities
Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities
Yassine Himeur
A. Sayed
A. Alsalemi
F. Bensaali
Abbes Amira
Iraklis Varlamis
Magdalini Eirinaki
Christos Sardianos
G. Dimitrakopoulos
32
86
0
22 Nov 2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
Chaoyang He
Alay Dilipbhai Shah
Zhenheng Tang
Adarshan Naiynar Sivashunmugam
Keerti Bhogaraju
Mita Shimpi
Li Shen
Xiaowen Chu
Mahdi Soltanolkotabi
Salman Avestimehr
VLM
FedML
75
68
0
22 Nov 2021
FedSLD: Federated Learning with Shared Label Distribution for Medical
  Image Classification
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification
Jun Luo
Shandong Wu
OOD
FedML
18
30
0
15 Oct 2021
Fast Hand Detection in Collaborative Learning Environments
Fast Hand Detection in Collaborative Learning Environments
Sravani Teeparthi
Venkatesh Jatla
Marios S. Pattichis
Sylvia Celedón-Pattichis
Carlos A. LópezLeiva
41
8
0
13 Oct 2021
Deep Federated Learning for Autonomous Driving
Deep Federated Learning for Autonomous Driving
A. Nguyen
Tuong Khanh Long Do
Minh-Ngoc Tran
Binh X. Nguyen
C. Duong
T. Phan
Erman Tjiputra
Quang-Dieu Tran
FedML
52
111
0
12 Oct 2021
ProgFed: Effective, Communication, and Computation Efficient Federated
  Learning by Progressive Training
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
Hui-Po Wang
Sebastian U. Stich
Yang He
Mario Fritz
FedML
AI4CE
55
50
0
11 Oct 2021
Personalized Retrogress-Resilient Framework for Real-World Medical
  Federated Learning
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
Zhen Chen
Meilu Zhu
Chen Yang
Yixuan Yuan
OOD
55
38
0
01 Oct 2021
Secure Neuroimaging Analysis using Federated Learning with Homomorphic
  Encryption
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
Dimitris Stripelis
Hamza Saleem
Tanmay Ghai
Nikhil J. Dhinagar
Umang Gupta
...
Greg Ver Steeg
Yu Yang
Muhammad Naveed
Paul M. Thompson
J. Ambite
FedML
109
53
0
07 Aug 2021
On Addressing Heterogeneity in Federated Learning for Autonomous
  Vehicles Connected to a Drone Orchestrator
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator
I. Donevski
J. J. Nielsen
P. Popovski
54
6
0
05 Aug 2021
Federated Action Recognition on Heterogeneous Embedded Devices
Federated Action Recognition on Heterogeneous Embedded Devices
Pranjali Jain
Shreyas Goenka
S. Bagchi
Biplab Banerjee
Somali Chaterji
FedML
58
7
0
18 Jul 2021
Anomaly Detection using Edge Computing in Video Surveillance System:
  Review
Anomaly Detection using Edge Computing in Video Surveillance System: Review
Devashree R. Patrikar
M. Parate
37
76
0
06 Jul 2021
Differentially private federated deep learning for multi-site medical
  image segmentation
Differentially private federated deep learning for multi-site medical image segmentation
Alexander Ziller
Dmitrii Usynin
Nicolas W. Remerscheid
Moritz Knolle
Marcus R. Makowski
R. Braren
Daniel Rueckert
Georgios Kaissis
FedML
45
23
0
06 Jul 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
74
791
0
12 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
47
181
0
10 Jun 2021
Long Term Object Detection and Tracking in Collaborative Learning
  Environments
Long Term Object Detection and Tracking in Collaborative Learning Environments
Sravani Teeparthi
25
3
0
02 Jun 2021
FedCor: Correlation-Based Active Client Selection Strategy for
  Heterogeneous Federated Learning
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
Minxue Tang
Xuefei Ning
Yitu Wang
Jingwei Sun
Yu Wang
H. Li
Yiran Chen
FedML
50
85
0
24 Mar 2021
Group Collaborative Learning for Co-Salient Object Detection
Group Collaborative Learning for Co-Salient Object Detection
Qi Fan
Deng-Ping Fan
Huazhu Fu
Chi-Keung Tang
Ling Shao
Yu-Wing Tai
64
82
0
15 Mar 2021
Automated liver tissues delineation techniques: A systematic survey on
  machine learning current trends and future orientations
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Ayman Al-Kababji
F. Bensaali
S. Dakua
Yassine Himeur
53
21
0
10 Mar 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via
  Episodic Learning in Continuous Frequency Space
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Quande Liu
Cheng Chen
J. Qin
Qi Dou
Pheng-Ann Heng
OOD
FedML
147
438
0
10 Mar 2021
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology
  Segmentation
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation
Cosmin I. Bercea
Benedikt Wiestler
Daniel Rueckert
Shadi Albarqouni
FedML
OOD
73
37
0
05 Mar 2021
Multi-institutional Collaborations for Improving Deep Learning-based
  Magnetic Resonance Image Reconstruction Using Federated Learning
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
Pengfei Guo
Puyang Wang
Jinyuan Zhou
Shanshan Jiang
Vishal M. Patel
FedML
OOD
70
145
0
03 Mar 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
246
367
0
07 Dec 2020
BaFFLe: Backdoor detection via Feedback-based Federated Learning
BaFFLe: Backdoor detection via Feedback-based Federated Learning
Sébastien Andreina
G. Marson
Helen Möllering
Ghassan O. Karame
FedML
58
138
0
04 Nov 2020
Semi-supervised Federated Learning for Activity Recognition
Semi-supervised Federated Learning for Activity Recognition
Yuchen Zhao
Hanyang Liu
Honglin Li
Payam Barnaghi
Hamed Haddadi
FedML
HAI
29
73
0
02 Nov 2020
Differentially Private Secure Multi-Party Computation for Federated
  Learning in Financial Applications
Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications
David Byrd
Antigoni Polychroniadou
FedML
47
156
0
12 Oct 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide
  Images
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Ming Y. Lu
Dehan Kong
Jana Lipkova
Richard J. Chen
Rajendra Singh
Drew F. K. Williamson
Tiffany Y. Chen
Faisal Mahmood
FedML
MedIm
97
173
0
21 Sep 2020
Federated Learning for Breast Density Classification: A Real-World
  Implementation
Federated Learning for Breast Density Classification: A Real-World Implementation
H. Roth
Ken Chang
Praveer Singh
N. Neumark
Wenqi Li
...
I. Dayan
R. Naidu
Mona G. Flores
D. Rubin
Jayashree Kalpathy-Cramer
OOD
FedML
AI4CE
53
163
0
03 Sep 2020
On the relationship between (secure) multi-party computation and
  (secure) federated learning
On the relationship between (secure) multi-party computation and (secure) federated learning
Huafei Zhu
40
13
0
06 Aug 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for
  Embedded Intelligence
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Aaqib Saeed
Flora D. Salim
T. Ozcelebi
J. Lukkien
FedML
SSL
133
100
0
25 Jul 2020
12
Next