Distributed systems comprise a network of independent computing nodes that collaborate to achieve shared objectives despite challenges such as network latency, asynchrony and process failures. At the ...

The study of population protocols and distributed algorithms occupies a pivotal position in the ongoing development of computational theory and its practical implementations. Population protocols ...

Big data analysis techniques are becoming more and more important, but efficient techniques that can be commonly employed for diverse data have not been developed much so far. This work devises ...

In a world where urban traffic congestion and environmental concerns are escalating, innovative solutions are crucial for creating sustainable and efficient transportation systems. A groundbreaking ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...