Federated learning techniques and its application in the healthcare industry / (Record no. 49767)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03297nam a2200385 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | WSP |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260416153413.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240412s2024 si o 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789811287947 |
| -- | (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9811287945 |
| -- | (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9789811287930 |
| -- | (hbk.) |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 094000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MED |
| Subject category code subdivision | 058000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MED |
| Subject category code subdivision | 035000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 610.285 |
| Edition number | 23 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 245 00 - TITLE STATEMENT | |
| Title | Federated learning techniques and its application in the healthcare industry / |
| Statement of responsibility, etc | editors, H.L. Gururaj ... [et al.]. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Singapore : |
| Name of publisher, distributor, etc | World Scientific, |
| Date of publication, distribution, etc | c2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (viii, 226 p.) |
| 500 ## - GENERAL NOTE | |
| General note | Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Contents | Federated learning techniques and its application in the healthcare industry -- Federated learning and its classifications -- Federated learning : revolutionizing financial insights and security in the digital age -- Review : recent applications on federated learning -- A review on various protocols in federated learning -- Fundamental theory of federated learning, protocols and enabling technologies for healthcare -- Federated learning for securing data access and its applications in healthcare -- A comprehensive study on time series analysis in healthcare -- Federated learning using TensorFlow -- Opportunities and challenges in federated learning -- Future directions and advances in federated learning. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Federated Learning is currently an emerging technology in the field of machine learning. Federated Learning is a structure which trains a centralized model for a given assignment, where the data is de-centralized across different edge devices or servers. This enables preservation of the confidentiality of data on various edge devices, as only the updated outcomes of the models are shared with the centralized model. This means the data can remain on each edge device, while we can still train a model using that data. Federated Learning has greatly increased the potential to transmute data in the healthcare industry, enabling healthcare professionals to improve treatment of patients. This book comprises chapters on applying Federated models in the field of healthcare industry. Federated Learning mainly concentrates on securing the privacy of data by training local data in a shared global model without putting the training data in a centralized location. The importance of federated learning lies in its innumerable uses in health care that ranges from maintaining the privacy of raw data of the patients, discover clinically alike patients, forecasting hospitalization due to cardiac events impermanence and probable solutions to the same. The goal of this edited book is to provide a reference guide to the theme"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Medical informatics |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Gururaj, H. L., |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://www.worldscientific.com/worldscibooks/10.1142/13722#t=toc">https://www.worldscientific.com/worldscibooks/10.1142/13722#t=toc</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Electronic Books |
| 520 ## - SUMMARY, ETC. | |
| -- | Publisher's website. |
| 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| General subdivision | Technological innovations. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| General subdivision | Medical applications. |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Dates associated with a name | 1988- |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Location | Date of Cataloging | Total Checkouts | Full call number | Barcode | Date last seen | Uniform Resource Identifier | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | CUTN Central Library | CUTN Central Library | 16/04/2026 | 610.285 | EB04958 | 16/04/2026 | https://doi.org/10.1142/13722 | 16/04/2026 | Electronic Books |