Edge-FIT: Federated Instruction Tuning of Quantized LLMs for Privacy-Preserving Smart Home Environments

Documenti analoghi

• Federated Markov Imputation: Privacy-Preserving Temporal Imputation in Multi-Centric ICU Environments
  di: Düsing, Christoph, et al.
  Pubblicazione: (2025)
• Federated Continual Instruction Tuning
  di: Guo, Haiyang, et al.
  Pubblicazione: (2025)
• Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMs
  di: Cho, Yoonjun, et al.
  Pubblicazione: (2026)
• SmartBench: Evaluating LLMs in Smart Homes with Anomalous Device States and Behavioral Contexts
  di: Zou, Qingsong, et al.
  Pubblicazione: (2026)
• Unifying Block-wise PTQ and Distillation-based QAT for Progressive Quantization toward 2-bit Instruction-Tuned LLMs
  di: Lee, Jung Hyun, et al.
  Pubblicazione: (2025)