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Federated learning for edge computing – Complete Phd and Masters Thesis

Federated learning for edge computing – Complete Phd and Masters Thesis

Title: Federated Learning for Edge Computing Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of…

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Federated Learning for Edge Computing – Complete Phd and Masters Thesis

Federated Learning for Edge Computing – Complete Phd and Masters Thesis

Introduction: Federated Learning is a novel machine learning approach that allows multiple edge devices to collaboratively train a shared machine learning model, without exchanging their raw data with a centralized server. This decentralized approach to…

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