Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

General-purpose AI models, as useful as they are, can still struggle with complicated tasks that require deep knowledge and tight integration with business systems. Take supply chain as an example: ...

Research published in Advances in Computer and Communication establishes frameworks for integrating Role-Based Access Control and Attribute-Based Access Control within large-scale distributed ...

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...

Claudio Saes is a partner and telecom practice leader at Bell Labs Consulting, a group of the award-winning Nokia Bell Labs. Since the dawn of time, our ancestors leveraged distributing strategies to ...

The Cyber-Physical System (CPS) nowadays relates to many commercialized and popularized technologies such as the Internet of Things (IoT, IIoT), ...

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...