Ngā tūemi rite

• Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving
  mā: Kou, Wei-Bin, me ētahi atu.
  I whakaputaina: (2023)
• PraFFL: A Preference-Aware Scheme in Fair Federated Learning
  mā: Ye, Rongguang, me ētahi atu.
  I whakaputaina: (2024)
• FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
  mā: Wu, Zhiyuan, me ētahi atu.
  I whakaputaina: (2023)
• FeedSign: Robust Full-parameter Federated Fine-tuning of Large Models with Extremely Low Communication Overhead of One Bit
  mā: Cai, Zhijie, me ētahi atu.
  I whakaputaina: (2025)
• FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
  mā: Wilkins, Grant, me ētahi atu.
  I whakaputaina: (2023)