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FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning
  and Negative Learning

FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning

15 October 2021
Jieming Bian
Zhu Fu
Jie Xu
    FedML
ArXivPDFHTML

Papers citing "FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning"

3 / 3 papers shown
Title
FEL: High Capacity Learning for Recommendation and Ranking via Federated
  Ensemble Learning
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
Meisam Hejazinia
Dzmitry Huba
Ilias Leontiadis
Kiwan Maeng
Mani Malek
Luca Melis
Ilya Mironov
Milad Nasr
Kaikai Wang
Carole-Jean Wu
FedML
9
5
0
07 Jun 2022
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
264
1,275
0
06 Mar 2017
1