Initial work includes data integration and measuring results over time, including prevented events, time-to-locate and time-to-restore metrics. Itron and Toumetis expect to use the results to guide a ...

Abstract: We propose to apply optical circuit switching to enable dynamic AllReduce reconfiguration for accelerating distributed machine learning. With simulated annealing-based optimization, the ...

Abstract: As a new distributed machine learning framework, vertical federated learning (VFL) has been widely applied in the industry. However, recent studies have demonstrated that VFL faces serious ...

Itron is the presenting sponsor of DTECH 2026. Discover solutions that enable real-time insights at the grid edge and improve safety, resiliency and reliability in Itron booth #2715, Locusview booth ...

AiOpti Recognized for Deterministic Measurement Linking Media Exposure to Real-World Outcomes The real reward is seeing ...

We’re honored to welcome Tom and Ram to our advisory board. Their combined insights, from standards in verification and ...

Federated learning leverages data across institutions to improve clinical discovery while complying with data-sharing restrictions and protecting patient privacy. This paper provides a gentle ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

CloudMesh is a UW SE capstone project that aims to create a decentralized, P2P approach to distributed machine learning training.

MLCommons selected four Georgia Tech students to participate in its 2025 Rising Stars cohort. A two-day Rising Stars workshop was held at Meta’s headquarters in May, where the participants showcased ...

ABSTRACT: Doping is an issue associated with elite sports as athletes attempt to enhance their performance to gain an edge over other athletes. However, the prevalence of doping is continuously ...