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TRUFFLES: TRUsted Framework for FederatedLEarning Systems

The TRUsted Framework for Federated LEarning Systems (TRUFFLES) project was granted in the strategic cybersecurity projects call by the INCIBE (Spain). It pursues research advances in the TRUSTED (DECENTRALIZED) FEDERATED LEARNING, (D)FL, area, that jointly addresses the challenges of privacy, security and robustness for distributed learning systems by combining information theory techniques, post-quantum encryption, crypto-coded computation and adversarial machine learning. Additionally, and since the INCIBE projects also have an important social aspect, TRUFFLES proposes some dissemination and social awareness activities.

GPSC Principal Investigator
START / END DATE
2023-2025
Partners
  • Signal Processing in Communications Group (GPSC)
  • Information & Computing Lab (I&C Lab)
Funding type
Public Funding
Funded by

INSTITUTO NACIONAL DE CIBERSEGURIDAD DE ESPAÑA M.P., S.A. PARA LA PROMOCIÓN DE PROYECTOS ESTRATÉGICOS DE CIBERSEGURIDAD EN ESPAÑA PLAN DE RECUPERACIÓN, TRANSFORMACIÓN Y RESILIENCIA- FINANCIADO POR LA UNIÓN EUROPEA – NEXT GENERATION

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