| 000 -LEADER |
|---|
| fixed length control field |
06329nam a2200865 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
8940936 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
IEEE |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20200413152931.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
|---|
| fixed length control field |
m eo d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
cr cn |||m|||a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
191223s2020 caua fob 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781681736983 |
| Qualifying information |
electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Canceled/invalid ISBN |
9781687336990 |
| Qualifying information |
hardcover |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Canceled/invalid ISBN |
9781681736976 |
| Qualifying information |
paperback |
| 024 7# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
10.2200/S00960ED2V01Y201910AIM043 |
| Source of number or code |
doi |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(CaBNVSL)mat00979860 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1133126613 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
CaBNVSL |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
CaBNVSL |
| Modifying agency |
CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.Y364 2020eb |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Yang, Qiang, |
| Dates associated with a name |
1961- |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Federated learning / |
| Statement of responsibility, etc. |
Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, Han Yu. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
[San Rafael, California] : |
| Name of producer, publisher, distributor, manufacturer |
Morgan & Claypool, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2020] |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 PDF (xvii, 189 pages) : |
| Other physical details |
illustrations (some color). |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
electronic |
| Source |
isbdmedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Source |
rdacarrier |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Synthesis lectures on artificial intelligence and machine learning, |
| International Standard Serial Number |
1939-4616 ; |
| Volume/sequential designation |
#43 |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
Mode of access: World Wide Web. |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
System requirements: Adobe Acrobat Reader. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Part of: Synthesis digital library of engineering and computer science. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references (pages 155-186). |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. Introduction -- 1.1. Motivation -- 1.2. Federated learning as a solution -- 1.3. Current development in federated learning -- 1.4. Organization of this book |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
2. Background -- 2.1. Privacy-preserving machine learning -- 2.2. PPML and secure ML -- 2.3. Threat and security models -- 2.4. Privacy preservation techniques |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
3. Distributed machine learning -- 3.1. Introduction to DML -- 3.2. Scalability-motivated DML -- 3.3. Privacy-motivated DML -- 3.4. Privacy-preserving gradient descent -- 3.5. Summary |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
4. Horizontal federated learning -- 4.1. The definition of HFL -- 4.2. Architecture of HFL -- 4.3. The federated averaging algorithm -- 4.4. improvement of the FedAvg algorithm -- 4.5. Related works -- 4.6. Challenges and outlook |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
5. Vertical federated learning -- 5.1. The definition of VFL -- 5.2. Architecture of VFL -- 5.3. Algorithms of VFL -- 5.4. Challenges and outlook |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
6. Federated transfer learning -- 6.1. Heterogeneous federated learning -- 6.2. federated transfer learning -- 6.3. The FTL framework -- 6.4. Challenges and outlook |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
7. Incentive mechanism design for federated learning -- 7.1. Paying for contributions -- 7.2. A fairness-aware profit sharing framework -- 7.3. Discussions |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
8. Federated learning for vision, language, and recommendation -- 8.1. Federated learning for computer vision -- 8.2. Federated Learning for NLP -- 8.3. Federated learning for recommendation systems |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
9. Federated reinforcement learning -- 9.1. Introduction to reinforcement learning -- 9.2. Reinforcement learning algorithms -- 9.3. Distributed reinforcement learning -- 9.4. Federated reinforcement learning -- 9.5. Challenges and outlook |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
10. Selected applications -- 10.1. Finance -- 10.2. Healthcare -- 10.3. Education -- 10.4. Urban computing and smart city -- 10.5. Edge computing and internet of things -- 10.6. Blockchain -- 10.7. 5G mobile networks |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
11. Summary and outlook -- A. Legal development on data protection -- A.1. Data protection in the European Union -- A.2. Data protection in the USA -- A.3. Data protection in China. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
|---|
| Terms governing access |
Abstract freely available; full-text restricted to subscribers or individual document purchasers. |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Compendex |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
INSPEC |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Google scholar |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Google book search |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
|---|
| Additional physical form available note |
Also available in print. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Title from PDF title page (viewed on December 23, 2019). |
| 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 |
Federated database systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data protection. |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
federated learning |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
secure multi-party computation |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
privacy preserving machine learning |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
machine learning algorithms |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
transfer learning |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
artificial intelligence |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
data confidentiality |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
GDPR |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
privacy regulations |
| 655 #0 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Liu, Yang |
| Titles and other words associated with a name |
(Ph. D. in chemical and biological engineering), |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Cheng, Yong, |
| Dates associated with a name |
1983- |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kang, Yan |
| Titles and other words associated with a name |
(Ph. D. in computer science), |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Chen, Tianjian, |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Yu, Han |
| Titles and other words associated with a name |
(Ph. D. in computer science), |
| Relator term |
author. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Print version: |
| International Standard Book Number |
9781681736976 |
| -- |
9781687336990 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Synthesis digital library of engineering and computer science. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Synthesis lectures on artificial intelligence and machine learning ; |
| Volume/sequential designation |
#43. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Abstract with links to resource |
| Uniform Resource Identifier |
https://ieeexplore.ieee.org/servlet/opac?bknumber=8940936 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Abstract with links to full text |
| Uniform Resource Identifier |
https://doi.org/10.2200/S00960ED2V01Y201910AIM043 |
