Distributed, Collaborative, and Federated Learning

ISBN 10: 3031185226 / ISBN 13: 9783031185229

Published by Springer, 2022

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Bibliographic Details

• Title: Distributed, Collaborative, and Federated Learning
• Publisher: Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3031185226
• ISBN 13: 9783031185229
• Binding: Soft cover
• Condition: Brand New

About this title

Synopsis

This book constitutes the refereed proceedings of the Third MICCAI Workshop on Distributed, Collaborative, and Federated Learning, DeCaF 2022, and the Second MICCAI Workshop on Affordable AI and Healthcare, FAIR 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022. FAIR 2022 was held as a hybrid event.

DeCaF 2022 accepted 14 papers from the 18 submissions received. The workshop aims at creating a scientific discussion focusing on the comparison, evaluation, and discussion of methodological advancement and practical ideas about machine learning applied to problems where data cannot be stored in centralized databases or where information privacy is a priority.

For FAIR 2022, 4 papers from 9 submissions were accepted for publication. The topics of the accepted submissions focus on deep ultrasound segmentation, portable OCT image quality enhancement, self-attention deep networks and knowledge distillation in low-regime setting.