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FedSLD: Federated Learning with Shared Label Distribution for Medical
  Image Classification

FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification

15 October 2021
Jun Luo
Shandong Wu
    OODFedML
ArXiv (abs)PDFHTMLGithub

Papers citing "FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification"

11 / 11 papers shown
Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
Baris Askin
Holger Roth
Zhenyu Sun
Carlee Joe-Wong
Gauri Joshi
Ziyue Xu
FedML
283
0
0
01 Nov 2025
A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation
A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation
Yufei Ma
Hanwen Zhang
Qiya Yang
Guibo Luo
Yuesheng Zhu
369
1
0
25 Jul 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics,
  Methods, Frameworks and Future Directions
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Daniel Gutiérrez
David Solans
Mikko A. Heikkilä
A. Vitaletti
Nicolas Kourtellis
Aris Anagnostopoulos
I. Chatzigiannakis
OOD
496
0
0
19 Nov 2024
DynamicFL: Federated Learning with Dynamic Communication Resource
  Allocation
DynamicFL: Federated Learning with Dynamic Communication Resource AllocationBigData Congress [Services Society] (BSS), 2024
Qi Le
Enmao Diao
Xinran Wang
Vahid Tarokh
Jie Ding
Ali Anwar
FedML
334
4
0
08 Sep 2024
FedMADE: Robust Federated Learning for Intrusion Detection in IoT
  Networks Using a Dynamic Aggregation Method
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation MethodInformation Security Conference (IS), 2024
Shihua Sun
Pragya Sharma
Kenechukwu Nwodo
Angelos Stavrou
Haining Wang
662
13
0
13 Aug 2024
Metadata-Driven Federated Learning of Connectional Brain Templates in
  Non-IID Multi-Domain Scenarios
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
Geng Chen
Qingyue Wang
I. Rekik
228
0
0
14 Mar 2024
Measuring Data Similarity for Efficient Federated Learning: A
  Feasibility Study
Measuring Data Similarity for Efficient Federated Learning: A Feasibility StudyInternational Conference on Computing, Networking and Communications (ICNC), 2024
Fernanda Famá
Charalampos Kalalas
Sandra Lagen
Paolo Dini
FedML
312
13
0
12 Mar 2024
Federated Learning for Computer Vision
Federated Learning for Computer Vision
Yassine Himeur
Iraklis Varlamis
Hamza Kheddar
Abbes Amira
Shadi Atalla
Yashbir Singh
F. Bensaali
Shadi Atalla
FedML
262
49
0
24 Aug 2023
Vision Through the Veil: Differential Privacy in Federated Learning for
  Medical Image Classification
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification
Kishore Babu Nampalle
Pradeep Singh
Vivek Narayan Uppala
Balasubramanian Raman
FedML
102
14
0
30 Jun 2023
Federated Learning for Medical Image Analysis: A Survey
Federated Learning for Medical Image Analysis: A SurveyPattern Recognition (Pattern Recogn.), 2023
Hao Guan
Pew-Thian Yap
Andrea Bozoki
Mingxia Liu
FedMLOOD
651
357
0
09 Jun 2023
Memory-aware curriculum federated learning for breast cancer
  classification
Memory-aware curriculum federated learning for breast cancer classification
Amelia Jiménez-Sánchez
Mickael Tardy
M. A. G. Ballester
Diana Mateus
Gemma Piella
OOD
295
114
0
06 Jul 2021
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