Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator

Ähnliche Einträge

• DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning
  von: Luo, Kangyang, et al.
  Veröffentlicht: (2024)
• FairGFL: Privacy-Preserving Fairness-Aware Federated Learning with Overlapping Subgraphs
  von: Zhou, Zihao, et al.
  Veröffentlicht: (2025)
• Sentinel: Dynamic Knowledge Distillation for Personalized Federated Intrusion Detection in Heterogeneous IoT Networks
  von: Singh, Gurpreet, et al.
  Veröffentlicht: (2025)
• FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning
  von: Han, Pengchao, et al.
  Veröffentlicht: (2023)
• Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data
  von: Shao, Jiaqi, et al.
  Veröffentlicht: (2023)