Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs
For modern artificial intelligence (AI) applications such as large language models (LLMs),
the training paradigm has recently shifted to pre-training followed by fine-tuning …
the training paradigm has recently shifted to pre-training followed by fine-tuning …
NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection
Over-the-air federated learning (FL), ie, AirFL, leverages computing primitively over multiple
access channels. A long-standing challenge in AirFL is to achieve coherent signal alignment …
access channels. A long-standing challenge in AirFL is to achieve coherent signal alignment …