IEEE

Graph-Based Joint Client Clustering and Resource Allocation for Wireless Distributed Learning: A New Hierarchical Federated Learning Framework With Non-IID Data

Abstract: Hierarchical federated learning (HFL) is a key technology enabling distributed learning with reduced communication overhead. However, practical HFL systems encounter two major challenges: ...
The Christian Science Monitor

Pittsburgh aims to capitalize on AI boom. Here’s how Steel City is remaking itself.

Pittsburgh is attracting money, and talent, as the former steel industry center remakes itself as an AI hub focused on ...
InfoWorld

PyTorch team unveils framework for programming clusters

Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one ...
IEEE

Framework for Fuzzy Temporal Association Rule Mining Based on Density Clustering Optimization

Abstract: This paper proposes a framework for fuzzy temporal association rule mining based on density clustering optimization, aimed at improving the fuzzification of continuous attributes and ...