IEEE

Dynamic and Fast Convergence for Federated Learning via Optimized Hyperparameters

Abstract: Federated Learning (FL) is a privacy-preserving computing paradigm that enables participants to collaboratively train a global model without exchanging their raw personal data. Due to ...
Tech Xplore

Researchers improve AI's ability to learn new tasks without sacrificing performance

A new framework allows AI models that have already been trained to learn new tasks without sacrificing performance when ...

Fast-track ‘alumni’ boom: How short courses at Harvard and Stanford became big business

Achieving alumni status at an institution like the University of Pennsylvania’s Wharton School or Stanford used to mean years ...
IEEE

Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering

Abstract: Streaming data clustering is a popular research topic in data mining and machine learning. Since streaming data is usually analyzed in data chunks, it is more susceptible to encountering the ...
NBC 6 South Florida

All you need to know about the FAST test in Florida and how to view your child's results

Florida kids are finally taking the third and last of the FAST tests for the 2025-2026 school year. FAST stands for Florida Assessment of Student Thinking. Unlike the FSA, the FAST test is given three ...
Fast Company

Accelerating learning velocity in product development

If you’ve ever been frustrated by how long it can take to ship a new product or experience, you’re not alone. There are many reasons why the product development process slows to a crawl: too many ...