Tech Xplore

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
MIT Technology ReviewOpinion

The era of AI persuasion in elections is about to begin

Although this is a challenge in elections across the world, the stakes for the United States are especially high, given the ...

Intelligent automation for front office

At the Bloomberg Investment Management Summit 2025 in Singapore, the breakout session ‘Intelligent Automation for Front ...
IEEE

What is the Value of Heuristic Model Selection and Aggregation in Federated Learning?

Abstract: Federated learning (FL) is a promising distributed machine learning framework for mobile networks, where an aggregation server produces a global model by aggregating the local models from ...
IEEE

Federated Learning for All: A Reinforcement Learning-Based Approach for Ensuring Fairness in Client Selection

Abstract: In federated learning, selecting participating devices (clients) is critical due to their inherent diversity. Clients typically hold non-IID data and possess varying computational and ...