Data engines such as RocksDB are playing an increasingly important role in preventing metadata-access bottlenecks that may impact the performance of large-scale systems. Here’s what you need to know.

FedM2CT consists of 3 modules, i.e., task-specific iRadonMAP (TS-iRadonMAP), condition-prompted mutual learning (CPML), and federated metadata learning (FMDL). TS-iRadonMAP performs the local CT image ...

Regulatory mandates govern data collection in many countries and some countries much more than others. Several European countries, such as France and Germany, have strong privacy laws that limit what ...