Federating to Grow Transformers with Constrained Resources without Model Sharing

Documenti analoghi

• A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments
  di: Zhang, Ruirui, et al.
  Pubblicazione: (2024)
• Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate
  di: Qi, Senmao, et al.
  Pubblicazione: (2025)
• Cooperative Backdoor Attack in Decentralized Reinforcement Learning with Theoretical Guarantee
  di: Gao, Mengtong, et al.
  Pubblicazione: (2024)
• Federated Fine-Tuning of Sparsely-Activated Large Language Models on Resource-Constrained Devices
  di: Chen, Fahao, et al.
  Pubblicazione: (2025)
• Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration
  di: Zhang, Xiao, et al.
  Pubblicazione: (2025)