Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures

Documenti analoghi

• Reinforcement Fine-Tuning for History-Aware Dense Retriever in RAG
  di: Zhang, Yicheng, et al.
  Pubblicazione: (2026)
• Federated Data-Efficient Instruction Tuning for Large Language Models
  di: Qin, Zhen, et al.
  Pubblicazione: (2024)
• Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
  di: Qin, Zhen, et al.
  Pubblicazione: (2023)
• Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
  di: Qin, Zhen, et al.
  Pubblicazione: (2023)
• Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
  di: Wu, Zhaomin, et al.
  Pubblicazione: (2024)