Federated Learning: Fundamentals and Advances
Gespeichert in:
Hauptverfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore
Springer Nature Singapore
2023
Singapore Springer |
Ausgabe: | 1st ed. 2023 |
Schriftenreihe: | Machine Learning: Foundations, Methodologies, and Applications
|
Schlagworte: | |
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Beschreibung: | 1 Online-Ressource (XI, 218 p. 101 illus., 69 illus. in color) |
ISBN: | 9789811970832 |
ISSN: | 2730-9916 |
DOI: | 10.1007/978-981-19-7083-2 |
Internformat
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author | Jin, Yaochu Zhu, Hangyu Xu, Jinjin Chen, Yang |
author_facet | Jin, Yaochu Zhu, Hangyu Xu, Jinjin Chen, Yang |
author_role | aut aut aut aut |
author_sort | Jin, Yaochu |
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discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.1007/978-981-19-7083-2 |
edition | 1st ed. 2023 |
format | Electronic eBook |
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id | DE-604.BV048603939 |
illustrated | Not Illustrated |
index_date | 2024-07-03T21:10:43Z |
indexdate | 2024-08-01T10:56:32Z |
institution | BVB |
isbn | 9789811970832 |
issn | 2730-9916 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033979414 |
oclc_num | 1355301177 |
open_access_boolean | |
owner | DE-522 DE-858 DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
owner_facet | DE-522 DE-858 DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
physical | 1 Online-Ressource (XI, 218 p. 101 illus., 69 illus. in color) |
psigel | ZDB-2-SCS ZDB-2-SCS_2023 |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | Springer Nature Singapore Springer |
record_format | marc |
series2 | Machine Learning: Foundations, Methodologies, and Applications |
spellingShingle | Jin, Yaochu Zhu, Hangyu Xu, Jinjin Chen, Yang Federated Learning Fundamentals and Advances Machine Learning Privacy Cryptology Machine learning Data protection—Law and legislation Cryptography Data encryption (Computer science) |
title | Federated Learning Fundamentals and Advances |
title_auth | Federated Learning Fundamentals and Advances |
title_exact_search | Federated Learning Fundamentals and Advances |
title_exact_search_txtP | Federated Learning Fundamentals and Advances |
title_full | Federated Learning Fundamentals and Advances by Yaochu Jin, Hangyu Zhu, Jinjin Xu, Yang Chen |
title_fullStr | Federated Learning Fundamentals and Advances by Yaochu Jin, Hangyu Zhu, Jinjin Xu, Yang Chen |
title_full_unstemmed | Federated Learning Fundamentals and Advances by Yaochu Jin, Hangyu Zhu, Jinjin Xu, Yang Chen |
title_short | Federated Learning |
title_sort | federated learning fundamentals and advances |
title_sub | Fundamentals and Advances |
topic | Machine Learning Privacy Cryptology Machine learning Data protection—Law and legislation Cryptography Data encryption (Computer science) |
topic_facet | Machine Learning Privacy Cryptology Machine learning Data protection—Law and legislation Cryptography Data encryption (Computer science) |
url | https://doi.org/10.1007/978-981-19-7083-2 |
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