2 papers
cs.LG2024
HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
Yang Su, Na Yan, Yansha Deng +2
Federated fine-tuning of pre-trained Large Language Models (LLMs) enables task-specific adaptation across diverse datasets while preserving privacy. However, challenges such as hig…
cs.NI2024
Telecom Foundation Models: Applications, Challenges, and Future Trends
Tahar Zanouda, Meysam Masoudi, Fitsum Gaim Gebre +1
Telecom networks are becoming increasingly complex, with diversified deployment scenarios, multi-standards, and multi-vendor support. The intricate nature of the telecom network ec…