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FedSiam: Towards Adaptive Federated Semi-Supervised Learning
v1v2 (latest)

FedSiam: Towards Adaptive Federated Semi-Supervised Learning

6 December 2020
Zewei Long
Liwei Che
Yaqing Wang
Muchao Ye
Junyu Luo
Jinze Wu
Houping Xiao
Fenglong Ma
    FedML
ArXiv (abs)PDFHTML

Papers citing "FedSiam: Towards Adaptive Federated Semi-Supervised Learning"

4 / 4 papers shown
Efficient Semi-Supervised Federated Learning for Heterogeneous
  Participants
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants
Zhipeng Sun
Yang Xu
Hong-Ze Xu
Liusheng Huang
C. Qiao
FedML
319
0
0
29 Jul 2023
Advancements in Federated Learning: Models, Methods, and Privacy
Advancements in Federated Learning: Models, Methods, and PrivacyACM Computing Surveys (ACM Comput. Surv.), 2023
Hui Chen
Huandong Wang
Qingyue Long
Depeng Jin
Yong Li
FedML
472
36
0
22 Feb 2023
Federated Cycling (FedCy): Semi-supervised Federated Learning of
  Surgical Phases
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical PhasesIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Hasan Kassem
Deepak Alapatt
Pietro Mascagni
AI4SafeChole Consortium
Alexandros Karargyris
N. Padoy
FedML
296
61
0
14 Mar 2022
Multimodal Federated Learning on IoT Data
Multimodal Federated Learning on IoT DataInternational Conference on Internet-of-Things Design and Implementation (IoTDI), 2021
Yuchen Zhao
Payam Barnaghi
Hamed Haddadi
197
106
0
10 Sep 2021
1
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