Federated learning: privacy and incentive
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham
Springer
[2020]
|
| Schriftenreihe: | Lecture notes in computer science
12500 |
| Schlagwörter: | |
| Umfang: | X, 286 Seiten Illustrationen, Diagramme |
| ISBN: | 9783030630751 |
Internformat
MARC
| LEADER | 00000nam a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV047143769 | ||
| 003 | DE-604 | ||
| 005 | 20220728 | ||
| 007 | t| | ||
| 008 | 210216s2020 xx a||| |||| 00||| eng d | ||
| 020 | |a 9783030630751 |9 978-3-030-63075-1 | ||
| 035 | |a (OCoLC)1238061639 | ||
| 035 | |a (DE-599)BVBBV047143769 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-83 |a DE-1049 | ||
| 082 | 0 | |a 006.3 |2 23 | |
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 245 | 1 | 0 | |a Federated learning |b privacy and incentive |c Qiang Yang, Lixin Fan, Han Yu (eds.) |
| 264 | 1 | |a Cham |b Springer |c [2020] | |
| 300 | |a X, 286 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Lecture notes in computer science |v 12500 | |
| 650 | 4 | |a Artificial Intelligence | |
| 650 | 4 | |a Systems and Data Security | |
| 650 | 4 | |a Computer Communication Networks | |
| 650 | 4 | |a Computer Applications | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Computer security | |
| 650 | 4 | |a Computer communication systems | |
| 650 | 4 | |a Application software | |
| 650 | 0 | 7 | |a Datensicherung |0 (DE-588)4011144-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Anwendungssoftware |0 (DE-588)4120906-0 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
| 689 | 0 | 0 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | 1 | |a Datensicherung |0 (DE-588)4011144-1 |D s |
| 689 | 0 | 2 | |a Anwendungssoftware |0 (DE-588)4120906-0 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Yang, Qiang |4 edt | |
| 700 | 1 | |a Fan, Lixin |4 edt | |
| 700 | 1 | |a Yu, Han |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-63076-8 |
| 830 | 0 | |a Lecture notes in computer science |v 12500 |w (DE-604)BV000000607 |9 12500 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-032549637 | |
Datensatz im Suchindex
| _version_ | 1820980749573029888 |
|---|---|
| adam_text | |
| any_adam_object | |
| author2 | Yang, Qiang Fan, Lixin Yu, Han |
| author2_role | edt edt edt |
| author2_variant | q y qy l f lf h y hy |
| author_facet | Yang, Qiang Fan, Lixin Yu, Han |
| building | Verbundindex |
| bvnumber | BV047143769 |
| classification_rvk | ST 300 |
| ctrlnum | (OCoLC)1238061639 (DE-599)BVBBV047143769 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zcb4500</leader><controlfield tag="001">BV047143769</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220728</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">210216s2020 xx a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783030630751</subfield><subfield code="9">978-3-030-63075-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1238061639</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047143769</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-83</subfield><subfield code="a">DE-1049</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Federated learning</subfield><subfield code="b">privacy and incentive</subfield><subfield code="c">Qiang Yang, Lixin Fan, Han Yu (eds.)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer</subfield><subfield code="c">[2020]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">X, 286 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Lecture notes in computer science</subfield><subfield code="v">12500</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Systems and Data Security</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer Communication Networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer Applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer security</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer communication systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Application software</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datensicherung</subfield><subfield code="0">(DE-588)4011144-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Anwendungssoftware</subfield><subfield code="0">(DE-588)4120906-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4143413-4</subfield><subfield code="a">Aufsatzsammlung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datensicherung</subfield><subfield code="0">(DE-588)4011144-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Anwendungssoftware</subfield><subfield code="0">(DE-588)4120906-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yang, Qiang</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fan, Lixin</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yu, Han</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-3-030-63076-8</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Lecture notes in computer science</subfield><subfield code="v">12500</subfield><subfield code="w">(DE-604)BV000000607</subfield><subfield code="9">12500</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032549637</subfield></datafield></record></collection> |
| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV047143769 |
| illustrated | Illustrated |
| indexdate | 2025-01-11T19:09:31Z |
| institution | BVB |
| isbn | 9783030630751 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032549637 |
| oclc_num | 1238061639 |
| open_access_boolean | |
| owner | DE-83 DE-1049 |
| owner_facet | DE-83 DE-1049 |
| physical | X, 286 Seiten Illustrationen, Diagramme |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer |
| record_format | marc |
| series | Lecture notes in computer science |
| series2 | Lecture notes in computer science |
| spelling | Federated learning privacy and incentive Qiang Yang, Lixin Fan, Han Yu (eds.) Cham Springer [2020] X, 286 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Lecture notes in computer science 12500 Artificial Intelligence Systems and Data Security Computer Communication Networks Computer Applications Artificial intelligence Computer security Computer communication systems Application software Datensicherung (DE-588)4011144-1 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Anwendungssoftware (DE-588)4120906-0 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Künstliche Intelligenz (DE-588)4033447-8 s Datensicherung (DE-588)4011144-1 s Anwendungssoftware (DE-588)4120906-0 s DE-604 Yang, Qiang edt Fan, Lixin edt Yu, Han edt Erscheint auch als Online-Ausgabe 978-3-030-63076-8 Lecture notes in computer science 12500 (DE-604)BV000000607 12500 |
| spellingShingle | Federated learning privacy and incentive Lecture notes in computer science Artificial Intelligence Systems and Data Security Computer Communication Networks Computer Applications Artificial intelligence Computer security Computer communication systems Application software Datensicherung (DE-588)4011144-1 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Anwendungssoftware (DE-588)4120906-0 gnd |
| subject_GND | (DE-588)4011144-1 (DE-588)4033447-8 (DE-588)4120906-0 (DE-588)4143413-4 |
| title | Federated learning privacy and incentive |
| title_auth | Federated learning privacy and incentive |
| title_exact_search | Federated learning privacy and incentive |
| title_full | Federated learning privacy and incentive Qiang Yang, Lixin Fan, Han Yu (eds.) |
| title_fullStr | Federated learning privacy and incentive Qiang Yang, Lixin Fan, Han Yu (eds.) |
| title_full_unstemmed | Federated learning privacy and incentive Qiang Yang, Lixin Fan, Han Yu (eds.) |
| title_short | Federated learning |
| title_sort | federated learning privacy and incentive |
| title_sub | privacy and incentive |
| topic | Artificial Intelligence Systems and Data Security Computer Communication Networks Computer Applications Artificial intelligence Computer security Computer communication systems Application software Datensicherung (DE-588)4011144-1 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Anwendungssoftware (DE-588)4120906-0 gnd |
| topic_facet | Artificial Intelligence Systems and Data Security Computer Communication Networks Computer Applications Artificial intelligence Computer security Computer communication systems Application software Datensicherung Künstliche Intelligenz Anwendungssoftware Aufsatzsammlung |
| volume_link | (DE-604)BV000000607 |
| work_keys_str_mv | AT yangqiang federatedlearningprivacyandincentive AT fanlixin federatedlearningprivacyandincentive AT yuhan federatedlearningprivacyandincentive |