Tag: Distributed Computing

A new distributed framework called REST cuts latency by up to about 97 percent and boosts throughput by up to ...

Argonne researchers introduce asynchronous checkpointing and lazy load redistribution that cut failure impact in distributed X-ray tomography workflows by up ...

The significance of Kiso becomes clearer when viewed against the broader history of scientific workflow systems and research infrastructure. For ...

A new Cluster Computing study using stroke prediction shows that federated learning in healthcare will fail unless it confronts severe ...

A new study shows that cockroaches navigate crowded obstacle courses more efficiently than asocial robots thanks to a simple stop-and-wait ...

Researchers have developed an adaptive weighted cost-optimization approach that makes optimal task offloading decisions in mobile edge computing within milliseconds, ...

Researchers at Shanghai Polytechnic University have developed CDAFIM, a class-difficulty-aware incentive mechanism that uses Shapley values to fairly reward federated ...

Researchers have unveiled DistTDT, a distributed framework that brings explainable terminological decision tree learning to massive OWL knowledge bases, cutting ...

Researchers have developed an AI-driven trust and decision-making framework that uses software-defined networking and the Bat Algorithm to select secure, ...

The world of machine learning and artificial intelligence has reached a remarkable milestone with the awarding of the prestigious BBVA ...