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Federated Learning

Hierarchical Federated Learning-Based Anomaly Detection Using Digital Twins For Internet of...

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Smart healthcare services can be provided by using Internet of Things (IoT) technologies that monitor the health conditions of patients and their vital body...

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...
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