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Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health

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Cover of 'Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health'

Table of Contents

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    Book Overview
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    Chapter 1 Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
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    Chapter 2 FedAP: Adaptive Personalization in Federated Learning for Non-IID Data
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    Chapter 3 Data Stealing Attack on Medical Images: Is It Safe to Export Networks from Data Lakes?
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    Chapter 4 Can Collaborative Learning Be Private, Robust and Scalable?
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    Chapter 5 Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation
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    Chapter 6 Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning
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    Chapter 7 GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging
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    Chapter 8 A Specificity-Preserving Generative Model for Federated MRI Translation
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    Chapter 9 Content-Aware Differential Privacy with Conditional Invertible Neural Networks
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    Chapter 10 DeMed: A Novel and Efficient Decentralized Learning Framework for Medical Images Classification on Blockchain
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    Chapter 11 Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images
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    Chapter 12 Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling
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    Chapter 13 Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana
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    Chapter 14 Towards Sparsified Federated Neuroimaging Models via Weight Pruning
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    Chapter 15 Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection
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    Chapter 16 Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions
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    Chapter 17 Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks
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    Chapter 18 LRH-Net: A Multi-level Knowledge Distillation Approach for Low-Resource Heart Network
Attention for Chapter 13: Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana
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Chapter title
Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana
Chapter number 13
Book title
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-18523-6_13
Book ISBNs
978-3-03-118522-9, 978-3-03-118523-6
Authors

Kades, Klaus, Scherer, Jonas, Zenk, Maximilian, Kempf, Marius, Maier-Hein, Klaus

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 Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Engineering 1 100%

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