Ngā tūemi rite

• Masked Autoencoders are Parameter-Efficient Federated Continual Learners
  mā: He, Yuchen, me ētahi atu.
  I whakaputaina: (2024)
• Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data
  mā: Qiao, Yu, me ētahi atu.
  I whakaputaina: (2024)
• One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
  mā: Wang, Naibo, me ētahi atu.
  I whakaputaina: (2024)
• Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data
  mā: Ardıç, Emre, me ētahi atu.
  I whakaputaina: (2026)
• FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data
  mā: Zhao, Yushan, me ētahi atu.
  I whakaputaina: (2025)