Advances and Open Problems in Federated Learning, Adria Gascon, Aleksandra Korolova, Ananda Theertha Suresh, Arjun Nitin Bhagoji, Aurelien Bellet, Ayfer Ozgur, Badih Ghazi, Ben Hutchinson, Brendan Ave

Автор: Hong Choong Seon, Khan Latif U., Chen Mingzhe
Название: Federated Learning for Wireless Networks
ISBN: 9811649626 ISBN-13(EAN): 9789811649622
Издательство: Springer
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Описание: It is divided into three main parts: The first part briefly discusses the fundamentals of FL for wireless networks, while the second part comprehensively examines the design and analysis of wireless FL, covering resource optimization, incentive mechanism, security and privacy.

Автор: Gaurav Dhiman, Sandeep Kautish
Название: Demystifying Federated Learning for Blockchain and Industrial Internet of Things
ISBN: 1668437333 ISBN-13(EAN): 9781668437339
Издательство: Mare Nostrum (Eurospan)
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Описание: Rediscovers, redefines, and reestablishes the most recent applications of federated learning using blockchain and IIoT to optimize data for next-generation networks. The book provides insights to readers in a way of inculcating the theme that shapes the next generation of secure communication.

Автор: Rehman Muhammad Habib Ur, Gaber Mohamed Medhat
Название: Federated Learning Systems: Towards Next-Generation AI
ISBN: 3030706036 ISBN-13(EAN): 9783030706036
Издательство: Springer
Цена: 19514.00 р.
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Описание: Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development.

Автор: Gaurav Dhiman, Sandeep Kautish
Название: Demystifying Federated Learning for Blockchain and Industrial Internet of Things
ISBN: 1668437341 ISBN-13(EAN): 9781668437346
Издательство: Mare Nostrum (Eurospan)
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Цена: 31878.00 р.
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Описание: Rediscovers, redefines, and reestablishes the most recent applications of federated learning using blockchain and IIoT to optimize data for next-generation networks. The book provides insights to readers in a way of inculcating the theme that shapes the next generation of secure communication.

Автор: Gao Wanling, Hwang Kai, Wang Changyun
Название: Intelligent Computing and Block Chain: First Benchcouncil International Federated Conferences, Ficc 2020, Qingdao, China, October 30 - November 3, 202
ISBN: 9811611599 ISBN-13(EAN): 9789811611599
Издательство: Springer
Цена: 12196.00 р.
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Описание: This book constitutes the refereed post-conference proceedings of the Second BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020, held in Qingdao, China, in October/ November 2020.The 32 full papers and 6 short papers presented were carefully reviewed and selected from 103 submissions.