Distributed machine learning and gradient optimization (Record no. 567560)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01766 a2200241 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250728124052.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250724b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789811634192 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | J56d |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Jiang, Jiawei |
| 245 ## - TITLE STATEMENT | |
| Title | Distributed machine learning and gradient optimization |
| Statement of responsibility, etc | Jiawei Jiang, Bin Cui and Ce Zhang |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Springer |
| Year of publication | 2022 |
| Place of publication | Singapore |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xi, 169p |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Big data management |
| 490 ## - SERIES STATEMENT | |
| Series statement | / edited by Xiaofeng Meng |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based iterative optimization to be an effective solution. Focusing on methods that can speed up large-scale gradient optimization through both algorithm optimizations and careful system implementations, the book introduces three essential techniques in designing a gradient optimization algorithm to train a distributed machine learning model: parallel strategy, data compression and synchronization protocol.<br/><br/>Written in a tutorial style, it covers a range of topics, from fundamental knowledge to a number of carefully designed algorithms and systems of distributed machine learning. It will appealto a broad audience in the field of machine learning, artificial intelligence, big data and database management. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning algorithms |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cui, Bin |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhang, Ce |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| On Display | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 24/07/2025 | 2 | 11280.75 | 006.31 J56d | A186931 | 15041.00 | Books |