MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02921nam a22003375i 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
221129s2023 si | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789811970832 |
| -- |
978-981-19-7083-2 |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Jin, Yaochu. |
| Relator term |
author. |
| Relationship |
aut |
| -- |
http://id.loc.gov/vocabulary/relators/aut |
| 9 (RLIN) |
1307489 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Federated Learning |
| Medium |
[electronic resource] : |
| Remainder of title |
Fundamentals and Advances / |
| Statement of responsibility, etc. |
by Yaochu Jin, Hangyu Zhu, Jinjin Xu, Yang Chen. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. 2023. |
| 260 #1 - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Singapore : |
| Name of publisher, distributor, etc. |
Springer Nature Singapore : |
| -- |
Imprint: Springer, |
| Date of publication, distribution, etc. |
2023. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XI, 218 p. 101 illus., 69 illus. in color. |
| Other physical details |
online resource. |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Machine Learning: Foundations, Methodologies, and Applications, |
| International Standard Serial Number |
2730-9916 |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction -- Communication-Efficient Federated Learning -- Evolutionary Federated Learning.-Secure Federated Learning -- Summary and Outlook. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level. Federated learning is a distributed machine learning paradigm which enables model training on a large body of decentralized data. Its goal is to make full use of data across organizations or devices while meeting regulatory, privacy, and security requirements. The book starts with a self-contained introduction to artificial neural networks, deep learning models, supervised learning algorithms, evolutionary algorithms, and evolutionary learning. Concise information is then presented on multi-party secure computation, differential privacy, and homomorphic encryption, followed by a detailed description of federated learning. In turn, the book addresses the latest advances in federate learning research, especially from the perspectives of communication efficiency, evolutionarylearning, and privacy preservation. The book is particularly well suited for graduate students, academic researchers, and industrial practitioners in the field of machine learning and artificial intelligence. It can also be used as a self-learning resource for readers with a science or engineering background, or as a reference text for graduate courses. . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data protection |
| General subdivision |
Law and legislation. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Cryptography. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data encryption (Computer science). |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine Learning. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Privacy. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Cryptology. |
| 9 (RLIN) |
61576 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Zhu, Hangyu. |
| Relator term |
author. |
| Relationship |
aut |
| -- |
http://id.loc.gov/vocabulary/relators/aut |
| 9 (RLIN) |
1518885 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Xu, Jinjin. |
| Relator term |
author. |
| Relationship |
aut |
| -- |
http://id.loc.gov/vocabulary/relators/aut |
| 9 (RLIN) |
1518886 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Chen, Yang. |
| Relator term |
author. |
| Relationship |
aut |
| -- |
http://id.loc.gov/vocabulary/relators/aut |
| 9 (RLIN) |
880733 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-981-19-7083-2">https://doi.org/10.1007/978-981-19-7083-2</a> |
| Materials specified |
Click Here |
| 887 ## - NON-MARC INFORMATION FIELD |
|---|
| Content of non-MARC field |
Akhil Chandra Saren |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
E-Books |
