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Federated Learning

Federated learning is originally created by Google. With the help of Federated Learning, machine learning models can learn on data sets located in different sites without having any training information shared between them.

Latest Paper From Amazon AI Research Analyzes And Explains The Challenges...

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This article summary is based on the research paper from Amazon: 'Federated learning challenges and opportunities: An outlook' All credits for this research goes to...

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...

Microsoft AI Team Introduces “Federated Learning Utilities and Tools for Experimentation”...

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This Article Is Based On The Research Paper 'FLUTE: A SCALABLE, EXTENSIBLE FRAMEWORK FOR HIGH-PERFORMANCE FEDERATED LEARNING SIMULATIONS'. All Credit For This Research Goes...

Introduction To Federated Learning: Enabling The Scaling Of Machine Learning Across...

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Large volumes of data are required for training machine learning models. The trained model is run on a cloud server that users can access...

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...

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...

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’s Latest Machine Learning Research on Using Differential Privacy in Image...

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From recommendations to automatic picture classification, machine learning (ML) models are increasingly helpful for increased performance across several consumer products. Despite aggregating massive volumes...

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...

Federated Learning Framework ‘Flower’ Has Released V.0.19 With A Lot of...

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This Article Is Based On The Research Article 'Flower 0.19 Release'. All Credit For This Research Goes To The Researchers of This Project đź‘Źđź‘Źđź‘Ź Please...
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