EP 4229559 A4 20240417 - SYSTEMS AND METHODS FOR PROVIDING A MODIFIED LOSS FUNCTION IN FEDERATED-SPLIT LEARNING
Title (en)
SYSTEMS AND METHODS FOR PROVIDING A MODIFIED LOSS FUNCTION IN FEDERATED-SPLIT LEARNING
Title (de)
SYSTEME UND VERFAHREN ZUR BEREITSTELLUNG EINER MODIFIZIERTEN VERLUSTFUNKTION BEIM FÖDERIERTEN SPLIT-LERNEN
Title (fr)
SYSTÈMES ET PROCÉDÉS DE FOURNITURE FONCTION DE PERTE MODIFIÉE DANS UN APPRENTISSAGE FÉDÉRÉ/DIVISÉ
Publication
Application
Priority
- US 202063090904 P 20201013
- US 202163226135 P 20210727
- US 2021054518 W 20211012
IPC 8 full level
G06N 3/098 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); H04L 9/08 (2006.01)
CPC (source: EP)
G06N 3/045 (2023.01); G06N 3/084 (2013.01); G06N 3/098 (2023.01); H04L 9/0841 (2013.01); H04L 9/085 (2013.01); H04L 2209/46 (2013.01)
Citation (search report)
[A] BONAWITZ KEITH BONAWITZ@GOOGLE COM ET AL: "Practical Secure Aggregation for Privacy-Preserving Machine Learning", PROCEEDINGS OF THE 18TH ACM/IFIP/USENIX MIDDLEWARE CONFERENCE, ACMPUB27, NEW YORK, NY, USA, 30 October 2017 (2017-10-30), pages 1175 - 1191, XP058698077, ISBN: 978-1-4503-5525-4, DOI: 10.1145/3133956.3133982
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
DOCDB simple family (publication)
DOCDB simple family (application)
EP 21880886 A 20211012