IEEE

Scalable Cooperative Localization using Augmented Lagrangian Method with Experimental Validation

Abstract: Received signal strength (RSS)-based localization techniques rely on the transmit power of nodes, with many existing approaches assuming full knowledge of this parameter. However, transmit ...
IEEE

LLM-based Task Offloading and Resource Allocation in Satellite Edge Computing Networks

Abstract: Satellite Mobile Edge Computing (MEC) networks offer a promising solution for delivering global services to terrestrial Internet of Things (IoT) terminals in 5 G and beyond. However, ...
JSTOR Daily

A New Scenario Decomposition Method for Large-Scale Stochastic Optimization

A novel parallel decomposition algorithm is developed for large, multistage stochastic optimization problems. The method decomposes the problem into subproblems that correspond to scenarios. The ...
pharmaphorum

Optimization of Lyophilization and alternatives to conventional Freeze-Drying methods

SMi Group reports: Alina Alexeenko of Purdue University presenting LyoHub's overview and strategies for the future of lyophilization and alternatives to conventional methods Optimization of ...
Frontiers

Plug-and-play low-rank tensor completion and reconstruction algorithms with improved applicability of tensor decompositions

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In this paper, we propose a new unified optimization ...
GitHub

Goekdeniz-Guelmez/mlx-lm-lora

With MLX-LM-LoRA you can, train Large Language Models locally on Apple Silicon using MLX. Training works with all models supported by MLX-LM, including: ...