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APPRENTISSAGE FRACTIONNE [1 record]

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Record 1 2024-02-29

English

Subject field(s)
  • Artificial Intelligence
  • IT Security
CONT

Split learning (SL) is one popular collaborative learning technique that aims to protect user privacy by enabling model training without exposing users' raw private data. In a simple vanilla setting, SL divides a deep model into two parts deployed between a client (data owner) and a server (computing service), where only smashed data (local model part's output after feeding raw data) is exposed for collaborative training with the server part.

French

Domaine(s)
  • Intelligence artificielle
  • Sécurité des TI
CONT

Dans l'apprentissage fractionné, le modèle entraîné est divisé en deux ou plusieurs parties. Les appareils de périphérie gardent les couches initiales du modèle d'apprentissage [...] et le serveur centralisé conserve les couches finales.

Spanish

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© Public Services and Procurement Canada, 2024
TERMIUM Plus®, the Government of Canada's terminology and linguistic data bank
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