Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...

Demand Gen campaigns may be the newest addition to the Google Ads toolbox, but they haven’t received the same attention or hype as Performance Max. At the core is their divergence from Google’s ...

An MD trajectory must be loaded into VMD with resname assignments for all atoms of interest. This can be done either by pre-loading a structure file with this information (e.g. .bgf file), or by ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

In the world of business and career coaching, breakthroughs don’t happen via a scheduling app or arrive in a client’s inbox—they occur thanks to one-on-one human conversation and moments of real ...

The Department of Labor's internal watchdog is launching a review of the Bureau of Labor Statistics' (BLS) approach to collecting and reporting economic data. Laura Nicolosi, assistant inspector ...

A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong ...

Background The way that data are presented can influence quality and safety initiatives. Time-series charts highlight changes but do not clarify whether data lie outside expected variation.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A crucial issue in the plastic recycling industry is the loss of quality in recycled ...

Apache Kafka has become an essential component in modern data architectures, enabling real-time data streaming and processing at scale. At the heart of Kafka's publish-subscribe model lies the Kafka ...