Ngā tūemi rite

• Traceable Black-box Watermarks for Federated Learning
  mā: Xu, Jiahao, me ētahi atu.
  I whakaputaina: (2025)
• IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning
  mā: Riya, Farhin Farhad, me ētahi atu.
  I whakaputaina: (2026)
• Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates
  mā: Wang, Chuanyin, me ētahi atu.
  I whakaputaina: (2025)
• Federated Learning With Individualized Privacy Through Client Sampling
  mā: Lange, Lucas, me ētahi atu.
  I whakaputaina: (2025)
• Automated Membership Inference Attacks: Discovering MIA Signal Computations using LLM Agents
  mā: Tran, Toan, me ētahi atu.
  I whakaputaina: (2026)