IEEE

Quantized Distributed Nonconvex Optimization Algorithms With Linear Convergence Under the Polyak–Łojasiewicz Condition

Abstract: This article considers distributed optimization for minimizing the average of local nonconvex cost functions, by using local information exchange over undirected communication networks. To ...
Frontiers

Integrated multi-omic profiling reveals macrophage-driven prognostic signatures in clear cell renal cell carcinoma through machine learning optimization

Objective: Clear cell renal cell carcinoma (KIRC) is the most prevalent and aggressive form of kidney cancer, with limited survival despite advances in combination immunotherapy. Tumor-associated ...
GitHub

NVIDIA Nsight Systems Profiling for Distributed LLM Training

This repository provides a production-ready framework for profiling distributed LLM training using NVIDIA Nsight Systems on Oracle Kubernetes Engine (OKE). It enables deep GPU performance analysis to ...
GitHub

Nitro static preset optimization

Update: this only happened when i18n disabled. Now use docus with SSG only generate this files: ℹ Prerendering 6 initial routes with crawler nitro 18:33:43 ├─ / (45ms) nitro 18:33:43 ├─ /robots.txt ...
IEEE

A Gradient-Based Optimization Algorithm for Optimal Control Problems With General Conformable Fractional Derivatives

Abstract: This paper presents an extended gradient-based optimization framework for optimal control problems governed by general conformable fractional derivatives (GCFDs), which unify various ...