Federated Learning

Google AI Introduces ‘Federated Reconstruction’ Framework That Enables Scalable Partially Local...

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Federated learning is a machine learning technique in which an algorithm is trained across numerous decentralized edge devices or servers, keeping local data samples...

Researchers Propose ‘ProxyFL’: A Novel Decentralized Federated Learning Scheme For Multi-Institutional...

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Tight rules generally govern data sharing in highly regulated industries like finance and healthcare. Federated learning is a distributed learning system that allows multi-institutional...

Google AI Improves The Performance Of Smart Text Selection Models By...

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Smart Text Selection is one of Android's most popular features, assisting users in selecting, copying, and using text by anticipating the desired word or...

NVIDIA Open-Source ‘FLARE’ (Federated Learning Application Runtime Environment), Providing A Common...

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Standard machine learning methods involve storing training data on a single machine or in a data center. Federated learning is a privacy-preserving technique that...

Ericsson And Uppsala University Team Up To Research Air Quality Prediction...

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Statistical methods have recently been applied in various sectors, spanning from health care to customer relationship management, to analyze and forecast the behavior of...