IEEE

A Sequential and Asynchronous Federated Learning Framework for Railway Point Machine Fault Diagnosis With Imperfect Data Transmission

Abstract: Fault diagnosis of railway assets has drawn the interest of both the scholarly and engineering communities. Federated learning (FL) enables training models across distributed assets to ...
InfoWorld

Angular Signals in practice: Building a signal-first form in Angular

By expressing form behavior in terms of state and derivation rather than orchestration and reaction, Angular Signal Forms ...
The Next Web

Henrique Schmaiske and the human work behind Meteor 3.0

Meteor CTO Henrique Schmaiske led the framework's largest release in over a decade, removing Fibers and migrating to async/await across 2,300 commits while keeping 500,000+ active installations stable ...
IEEE

AFML: An Asynchronous Federated Meta-Learning Mechanism for Charging Station Occupancy Prediction With Biased and Isolated Data

Abstract: Electric vehicles (EVs) are driving green and low-carbon transport in modern cities. It makes charging station occupancy prediction (CSOP) critual for intelligent transportation systems (ITS ...