Documenti analoghi

• FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout
  di: Feng, Zhiying, et al.
  Pubblicazione: (2023)
• EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
  di: Li, Zhiqiang, et al.
  Pubblicazione: (2025)
• FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
  di: Chen, Yuanyuan, et al.
  Pubblicazione: (2022)
• Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout
  di: Liu, Ji, et al.
  Pubblicazione: (2025)
• DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering
  di: Jaramillo-Civill, Mariona, et al.
  Pubblicazione: (2025)