Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2110.07136
Cited By
Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing
14 October 2021
Dinh C. Nguyen
Ming Ding
P. Pathirana
Aruna Seneviratne
Albert Y. Zomaya
FedML
MedIm
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing"
17 / 17 papers shown
Title
Asynchronous Personalized Federated Learning through Global Memorization
Fan Wan
Y. Li
Xueqi Qiu
Rui Sun
L. Zhang
Xingyu Miao
Tianyu Zhang
Haoran Duan
Yang Long
34
0
0
01 Mar 2025
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
Silin Chen
Kangjian Di
Yichu Xu
Han-Jia Ye
Wenhan Luo
Ningmu Zou
FedML
42
0
0
28 Feb 2025
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
Ming Li
Pengcheng Xu
Junjie Hu
Zeyu Tang
Guang Yang
FedML
40
1
0
15 Sep 2024
Private Collaborative Edge Inference via Over-the-Air Computation
Selim F. Yilmaz
Burak Hasircioglu
Li Qiao
Deniz Gunduz
FedML
52
1
0
30 Jul 2024
A Systematic Review of Federated Generative Models
Ashkan Vedadi Gargary
Emiliano De Cristofaro
AI4CE
36
2
0
26 May 2024
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
Geng Chen
Qingyue Wang
I. Rekik
28
0
0
14 Mar 2024
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions
Zeju Cai
Jianguo Chen
Yuting Fan
Zibin Zheng
Keqin Li
39
4
0
01 Mar 2024
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Azim Akhtarshenas
Mohammad Ali Vahedifar
Navid Ayoobi
B. Maham
Tohid Alizadeh
Sina Ebrahimi
David López-Pérez
FedML
28
5
0
08 Oct 2023
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features
Zijian Li
Zehong Lin
Jiawei Shao
Yuyi Mao
Jun Zhang
OOD
27
10
0
30 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning
Zijian Li
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
26
20
0
09 Aug 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
40
23
0
20 Jul 2023
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Jiawei Shao
Yuchang Sun
Songze Li
Jun Zhang
OOD
27
37
0
06 Oct 2022
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study
Alex Zhang
Naomi Fengqi Li
OOD
FedML
24
4
0
24 Mar 2022
Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs
F. Wilhelmi
Jernej Hribar
Selim F. Yilmaz
Emre Ozfatura
Kerem Ozfatura
...
Xiaoying Ye
Lizhao You
Yulin Shao
Paolo Dini
B. Bellalta
21
10
0
20 Mar 2022
Federated Learning for Cross-block Oil-water Layer Identification
Bingyang Chena
Xingjie Zeng
Weishan Zhang
22
1
0
29 Dec 2021
Analysis and Evaluation of Synchronous and Asynchronous FLchain
F. Wilhelmi
L. Giupponi
Paolo Dini
16
5
0
15 Dec 2021
Preventing and Controlling Epidemics through Blockchain-Assisted AI-Enabled Networks
Safa Otoum
Ismaeel Al Ridhawi
Hussein T. Mouftah
26
19
0
25 Apr 2021
1