Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models

Documenti analoghi

• Federated Inference: Toward Privacy-Preserving Collaborative and Incentivized Model Serving
  di: Seo, Jungwon, et al.
  Pubblicazione: (2026)
• Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks
  di: Scheliga, Daniel, et al.
  Pubblicazione: (2023)
• Privacy-Preserving in Blockchain-based Federated Learning Systems
  di: M., Sameera K., et al.
  Pubblicazione: (2024)
• PrivTune: Efficient and Privacy-Preserving Fine-Tuning of Large Language Models via Device-Cloud Collaboration
  di: Liu, Yi, et al.
  Pubblicazione: (2025)
• Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
  di: Piran, Fardin Jalil, et al.
  Pubblicazione: (2024)