Incentivizing High-quality Participation From Federated Learning Agents

Documenti analoghi

• From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges
  di: Li, Qiongxiu, et al.
  Pubblicazione: (2025)
• GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation
  di: Seo, Jungwon, et al.
  Pubblicazione: (2025)
• FilFL: Client Filtering for Optimized Client Participation in Federated Learning
  di: Fourati, Fares, et al.
  Pubblicazione: (2023)
• HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
  di: Zhang, Jianqing, et al.
  Pubblicazione: (2025)
• Federated Multi-Objective Learning
  di: Yang, Haibo, et al.
  Pubblicazione: (2023)