IEEE

SnapCFL: A Pre-Clustering-Based Clustered Federated Learning Framework for Data and System Heterogeneities

Abstract: Federated Learning (FL) has emerged as a promising framework to address data privacy concerns associated with mobile devices, in contrast to conventional Machine Learning (ML). However, ...
PCMag

I Clustered Two Nvidia DGX Spark AI Boxes in My Living Room. Here's What Happened

Daisy-chaining two of Dell's Nvidia GB10 DGX Spark systems didn't just pump up my home AI lab—it fundamentally changed how I ...
GitHub

MOC-from-domain-1.md

18 17 - 生产环境运维最佳实践 (Production Operations Best Practices) k8s, architecture, deep-dive 19 18 - Kubernetes 升级和迁移策略指南 k8s, architecture, deep-dive 20 Kubectl v1.29 - v1.33 新命令与用法速查 k8s, architecture, ...
Barron's

Indexes Rewrote the Rules for Musk. Ordinary Americans Are Left Holding the Bag.

About the author: Christopher Collins is a fellow with the Polycrisis Program at the Cascade Institute at Royal Roads University ...
IEEE

Rethinking Clustered Federated Learning in NOMA Enhanced Wireless Networks

Abstract: This study explores the benefits of integrating the novel clustered federated learning (CFL) approach with non-orthogonal multiple access (NOMA) under non-independent and identically ...