Verfahren und System für Serverloses Kollaboratives Lernen zwischen Silens in einem Bösartigen Client-Bedrohungsmodell
Anmelder: Tata Consultancy Services Limited 🇮🇳
Details
- Veröffentlichungs-Nr.
- EP4586142
- Aktenzeichen
- EP24223595
- Anmeldetag
- 30. Dezember 2024
- Veröffentlichung
- 16. Juli 2025
- Rechtsraum
- EP
- IPC
- G06N3/045
Abstract
Traditional deep learning techniques are performed by high-performance system with direct access to the data to train large models. An approach of training the model from a collaboration of similar stakeholders where they pool together their data in a central server. However, data privacy is lost by exposing said models and data security while accessing heterogeneous data. Embodiments of the present disclosure provide a method and system for a cross-silo serverless collaborative learning among a plurality of clients in a malicious client threat-model based on a decentralized Epsilon cluster selection. Protocols are initialized and considered to iteratively train local models associated with each client and aggregate the local models as private input based on the multi-party computation to obtain global model. Non-linear transformation of a silhouette score to an Epsilon probability without implementing a server to select r<sup>th</sup> model from an active set to assign as the global model.
Anmelder
- Firma
- Tata Consultancy Services Limited
- Land
- 🇮🇳 Indien
Indisches IT-Dienstleistungs- und Beratungsunternehmen, Teil der Tata Group. Bietet Softwareentwicklung, IT-Consulting, Outsourcing und digitale Transformationslösungen für Unternehmenskunden weltweit an.
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Boehmert & Boehmert geht auf die Zulassung von Dr. Karl Boehmert 1931 in Berlin zurück. Mit Standorten in Deutschland, Alicante, Paris und Shanghai bietet die Kanzlei IP aus einer Hand und legt besonderen Wert auf persönliche Mandantenbetreuung statt Anonymität.