An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications

Documenti analoghi

• FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model
  di: Mia, Md Jueal, et al.
  Pubblicazione: (2025)
• QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
  di: Mia, Md Jueal, et al.
  Pubblicazione: (2024)
• Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing
  di: Moore, Ervin, et al.
  Pubblicazione: (2024)
• pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup
  di: Saadati, Yasaman, et al.
  Pubblicazione: (2025)
• Resource Allocation of Industry 4.0 Micro-Service Applications across Serverless Fog Federation
  di: Hussain, Razin Farhan, et al.
  Pubblicazione: (2024)