| 000 | 03636nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-57567-9 | ||
| 003 | DE-He213 | ||
| 005 | 20250516160039.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240528s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031575679 _9978-3-031-57567-9 |
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| 050 | 4 | _aTK5101-5105.9 | |
| 072 | 7 |
_aTJK _2bicssc |
|
| 072 | 7 |
_aTEC041000 _2bisacsh |
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| 072 | 7 |
_aTJK _2thema |
|
| 082 | 0 | 4 |
_a621.382 _223 |
| 245 | 1 | 0 |
_aDistributed Machine Learning and Computing _h[electronic resource] : _bTheory and Applications / _cedited by M. Hadi Amini. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2024. |
|
| 300 |
_aX, 158 p. 29 illus., 28 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aBig and Integrated Artificial Intelligence, _x2662-4141 ; _v2 |
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| 505 | 0 | _aChapter 1. Distributed Machine Learning and Computing: An Overview -- Chapter 2. Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks -- Chapter 3. Heterogeneity Aware Distributed Machine Learning at the Wireless Edge for Health IoT Applications: An EEG Data Case Study -- Chapter 4. A Comprehensive Review of Artificial Intelligence and Machine Learning Methods for Modern Health-care Systems -- Chapter 5. Vertical Federated Learning: Principles, Applications, and Future Frontiers -- Chapter 6. Decentralization of Energy Systems with Blockchain: Bridging Top-down and Bottom-up Management of the Electricity Grid.-Chapter 7. Empowering Distributed Solutions in Renewable Energy Systems and Grid Optimization. | |
| 520 | _aThis book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques. Specifies the value of efficient theoretical methods in dealing with large-scale decision-making problems; Provides an investigation of distributed machine learning and optimization algorithms for large-scale networks; Includes basics and mathematical foundations needed to analyze and address the interdependent complex networks. | ||
| 541 |
_fUABC ; _cPerpetuidad |
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| 650 | 0 | _aTelecommunication. | |
| 650 | 0 | _aComputational intelligence. | |
| 650 | 0 | _aMachine learning. | |
| 650 | 0 | _aCooperating objects (Computer systems). | |
| 650 | 1 | 4 | _aCommunications Engineering, Networks. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aMachine Learning. |
| 650 | 2 | 4 | _aCyber-Physical Systems. |
| 700 | 1 |
_aAmini, M. Hadi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031575662 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031575686 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031575693 |
| 830 | 0 |
_aBig and Integrated Artificial Intelligence, _x2662-4141 ; _v2 |
|
| 856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-57567-9 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cLIBRO_ELEC | ||
| 999 |
_c275140 _d275139 |
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