Do LoRa Low-Power Wide-Area Networks Scale? New Internet of Things (IoT) technologies such as LongRange (LoRa) are emerging which enable power ecientwireless communication over very long distances. D... MC Bor,U Roedig,T Voigt,... - Acm International Conference on Modeling 被引量: 73发表...
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The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning - MTLoRA/models/lora.py at main · scale-lab/MTLoRA
This is the official implementation of the paper: MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning developed at Brown University SCALE lab.This repository provides a Python-based implementation of MTLoRA including MTLoRALinear (the main module) and MTL architectures....
ST intends to use the technology to target Internet of Things (IoT) deployments by mobile network operators (MNOs) and large-scale private networks. ST will join the LoRa Alliance and release reference designs for LoRa technology based on its STM32 family of microcontrollers. ST plans to ...
STMicroelectronics has introduced two $99 ready-to-use development packs that enable all types of users from large corporations to smaller companies, independent designers, hobbyists, and schools to utilize LoRa®’s long-range, low-power wireless IoT connectivity for tracking, positioning, metering...
M. Alonso, "Do LoRa low- power wide-area networks scale?" in Proc. of ACM Intl. Conf. Modeling, Analysis and Simul. Wireless and Mobile Systems, (MSWiM'16), Nov. 2016, pp. 59-67.M. Bor, U. Roedig, T. Voigt, and J. Alonso, "Do LoRa low-power wide- area networks scale?" ...
Where companies scale their LoRaWAN® solutions, We empower companies to unleash the power of our LoRaWAN Network Server to build secure and scalable solutions
@@ -21,6 +21,12 @@ def load_lora(lora, to_load): alpha = lora[alpha_name].item() loaded_keys.add(alpha_name) dora_scale_name = "{}.dora_scale".format(x) dora_scale = None if dora_scale_name in lora.keys(): dora_scale = lora[dora_scale_name] loaded_keys.add(dora_scale...
The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning - MTLoRA/requirements.txt at main · scale-lab/MTLoRA