Advances and Open Problems in Federated Learning by Kairouz, Peter
Advances and Open Problems in Federated Learning by Kairouz, Peter

Advances and Open Problems in Federated Learning

The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where...
HK$1,843.59
HK$1,843.59
SKU: 9781680837889
Product Type: Books
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Author: Peter Kairouz
Format: Paperback
Language: English
Subtotal: $1,843.59
Advances and Open Problems in Federated Learning by Kairouz, Peter

Advances and Open Problems in Federated Learning

$1,843.59
Advances and Open Problems in Federated Learning by Kairouz, Peter

Advances and Open Problems in Federated Learning

$1,843.59
Author: Peter Kairouz
Format: Paperback
Language: English
Description
The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learning problem, under the coordination of a central server or service provider. Each client's raw data is stored locally and not exchanged or transferred; instead, focused updates intended for immediate aggregation are used to achieve the learning objective. Since then, the topic has gathered much interest across many different disciplines and the realization that solving many of these interdisciplinary problems likely requires not just machine learning but techniques from distributed optimization, cryptography, security, differential privacy, fairness, compressed sensing, systems, information theory, statistics, and more. This monograph has contributions from leading experts across the disciplines, who describe the latest state-of-the art from their perspective. These contributions have been carefully curated into a comprehensive treatment that enables the reader to understand the work that has been done and get pointers to where effort is required to solve many of the problems before Federated Learning can become a reality in practical systems. Researchers working in the area of distributed systems will find this monograph an enlightening read that may inspire them to work on the many challenging issues that are outlined. This monograph will get the reader up to speed quickly and easily on what is likely to become an increasingly important topic: Federated Learning.

Author: Peter Kairouz, H. Brendan McMahan, Brendan Avent
Publisher: Now Publishers
Published: 06/23/2021
Pages: 226
Binding Type: Paperback
Weight: 0.71lbs
Size: 9.21h x 6.14w x 0.48d
ISBN: 9781680837889
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