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 ...

The Committee on National Statistics (CNSTAT) contributes to a better understanding of important national issues by working to improve the statistical methods and information on which public policy ...

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 ...

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 ...

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.

Abstract: Deep metric learning has gained significant attention recently due to its promising performance in image retrieval, face recognition, and clustering tasks. Deep metric learning algorithms ...

Plies at One Music Festival in Atlanta (Photo credit: Nagashia Jackson for rolling out) A significant copyright dispute in the hip-hop community has taken an unexpected turn as rapper Plies has ...

Container Runtime Interface (CRI): cri-o Container Network Interface (CNI): calico 3.28.0 (Default) Kubernetes: 1.29 (Default) Kubernetes Dashboard: 7.5.0 ...