DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation

Documenti analoghi

• FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users
  di: Rahulamathavan, Yogachandran, et al.
  Pubblicazione: (2023)
• Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection
  di: Herath, Charuka, et al.
  Pubblicazione: (2024)
• Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises
  di: Xia, Yue, et al.
  Pubblicazione: (2024)
• LIFT: Byzantine Resilient Hub-Sampling
  di: Legheraba, Mohamed Amine, et al.
  Pubblicazione: (2026)
• Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
  di: Xu, Jiahao, et al.
  Pubblicazione: (2024)