Essays about: "decentralized privacy"
Showing result 1 - 5 of 39 essays containing the words decentralized privacy.
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1. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving a noticeable gap in FL research specifically for regression models. READ MORE
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2. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving a noticeable gap in FL research specifically for regression models. READ MORE
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3. Detecting Distracted Drivers using a Federated Computer Vision Model : With the Help of Federated Learning
University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Abstract : En av de vanligaste distraktionerna under bilkörning är utförandet av aktiviteter som avlägsnar förarens fokus från vägen, exempelvis användandet av en telefon för att skicka meddelanden. Det finns många olika sätt att hantera dessa problem, varav en teknik är att använda maskininlärning för att identifiera och notifiera distraherade bilförare. READ MORE
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4. Implementing a Network Optimized Federated Learning Method From the Ground up
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This bachelor thesis presents the implementation ofa simple fully connected neural network (FCNN) and federatedneural network with stochastic quantization from scratch andcompares their performance. Federated learning enables multipleparties to contribute to a machine learning model withoutsharing their sensitive data. READ MORE
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5. CarGo : A Decentralized Protocol for Booking and Payment in Car-Sharing Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sharing commodities such as vehicles and houses in exchange for a fee has become very popular in the recent years. Companies such as Uber and Airbnb are two examples where their users can rent their underutilized assets for a period of time. READ MORE
