Understanding Indexing in Economics and Passive Investing

Explore how indexing tracks economic trends, supports passive investing, and serves as a benchmark tool for comparing market ...
IEEE

Gradient-Refined Federated Learning on Head-Tail Imbalanced Data

Abstract: Federated learning has emerged as a transformative paradigm for distributed data collaboration, facilitating knowledge aggregation across multiple local clients through a global server while ...
The Bakersfield Californian

Lucend, Formerly Coolgradient, Raises $3.3M to Bring Transparent AI to Data Centers to Increase Uptime and Reliability While Maximizing Efficiency

Lucend today announced that it is bringing its transparent data center optimization to the U.S. market, helping enterprises illuminate complex operational environments and empowering data center ...
IEEE

Non-Gradient Hash Factor Learning for High-Dimensional and Incomplete Data Representation Learning

Abstract: High-dimensional and incomplete (HDI) data are ubiquitous in various Big Data-related industrial applications, such as drug innovation and recommender systems. Hash learning is the most ...