Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models

Ähnliche Einträge

• HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
  von: Lin, Zheng, et al.
  Veröffentlicht: (2025)
• Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
  von: Hu, Senkang, et al.
  Veröffentlicht: (2025)
• Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
  von: Fang, Zihan, et al.
  Veröffentlicht: (2026)
• FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks
  von: Lin, Zheng, et al.
  Veröffentlicht: (2023)
• SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework
  von: Zhang, Yuxin, et al.
  Veröffentlicht: (2024)