IEEE

ZCLoRa: A Lightweight Deep Learning Based Receiver for Enhanced LoRa Decoding

Abstract: This letter introduces Zak-CNN LoRa (ZCLoRa), a novel receiver designed for low-power, long-range Internet of things (IoT) applications, addressing key limitations in conventional LoRa ...
GitHub

LoRAX: Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

LoRAX (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency.
IEEE

Radio Frequency Fingerprint Identification for LoRa Using Deep Learning

Abstract: Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique that relies on the intrinsic hardware characteristics of wireless devices. This paper designs ...
GitHub

Punica: Serving multiple LoRA finetuned LLM as one

Low rank adapation (LoRA) is a parameter efficient way to add new knowledge to a pretrained LLM. Although the pretrained LLM takes 100s of GB storage, a LoRA finetuned model only adds 1% storage and ...