Submodular Maximization Approaches for Equitable Client Selection in Federated Learning

Documenti analoghi

• Randomized Greedy Methods for Weak Submodular Sensor Selection with Robustness Considerations
  di: Kaya, Ege C., et al.
  Pubblicazione: (2024)
• Localized Distributional Robustness in Submodular Multi-Task Subset Selection
  di: Kaya, Ege C., et al.
  Pubblicazione: (2024)
• Equitable Federated Learning with Activation Clustering
  di: Upadhyay, Antesh, et al.
  Pubblicazione: (2024)
• Statistical Reachability Analysis of Stochastic Cyber-Physical Systems under Distribution Shift
  di: Hashemi, Navid, et al.
  Pubblicazione: (2024)
• Dynamic Anchor Selection and Real-Time Pose Prediction for Ultra-wideband Tagless Gate
  di: Choi, Junyoung, et al.
  Pubblicazione: (2024)