Documenti analoghi

• FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
  di: Chen, Yuanyuan, et al.
  Pubblicazione: (2022)
• FedMef: Towards Memory-efficient Federated Dynamic Pruning
  di: Huang, Hong, et al.
  Pubblicazione: (2024)
• EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning
  di: Wu, Di, et al.
  Pubblicazione: (2023)
• SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning
  di: Yang, Yuning, et al.
  Pubblicazione: (2024)
• FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients
  di: Liang, Han, et al.
  Pubblicazione: (2024)