Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health (Record no. 186612)

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control field 978-3-031-18523-6
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031185236
-- 978-3-031-18523-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-18523-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source bicssc
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Subject category code COM016000
Source bisacsh
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Subject category code UYQV
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Edition number 23
245 10 - TITLE STATEMENT
Title Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health
Medium [electronic resource] :
Remainder of title Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings /
Statement of responsibility, etc edited by Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 -
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-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2022.
300 ## - PHYSICAL DESCRIPTION
Extent XV, 204 p. 68 illus., 60 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume number/sequential designation 13573
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Distributed, Collaborative, and Federated Learning -- Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation -- FedAP: Adaptive Personalization in Federated Learning for Non-IID Data Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes? -- Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes? -- Can collaborative learning be private, robust and scalable? -- Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation -- Joint Multi Organ and Tumor Segmentation from Partial Labels using Federated Learning -- Fuh, Kensaku Mori, Weichung Wang, Holger R Roth GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging -- A Specificity-Preserving Generative Model for Federated MRI Translation -- Content-Aware Differential Privacy with Conditional Invertible Neural Networks -- DeMed: A Novel and Efficient Decentralized Learning Framework for Medical Images Classification on Blockchain -- Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images -- Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling -- Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana -- Towards Sparsified Federated Neuroimaging Models via Weight Pruning -- Affordable AI and Healthcare -- Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection -- Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions -- Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks -- LRH-Net: A Multi-Level Knowledge Distillation Approach for Low-Resource Heart Network.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Vision.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computing Milieux.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer and Information Systems Applications.
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Personal name Albarqouni, Shadi.
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Personal name Bakas, Spyridon.
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Personal name Bano, Sophia.
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Personal name Cardoso, M. Jorge.
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Personal name Khanal, Bishesh.
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Personal name Landman, Bennett.
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Personal name Li, Xiaoxiao.
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Personal name Qin, Chen.
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Personal name Rekik, Islem.
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Personal name Rieke, Nicola.
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Personal name Roth, Holger.
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Personal name Sheet, Debdoot.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Xu, Daguang.
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710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031185229
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031185243
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 1611-3349 ;
Volume number/sequential designation 13573
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-18523-6">https://doi.org/10.1007/978-3-031-18523-6</a>
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Koha item type eBooks-CSE-Springer

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