Avancerad sökning

Hittade 3 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Implementing a Network Optimized Federated Learning Method From the Ground up

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gustav Källander; Henning Norén; [2023]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  3. 2. Software Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Rémi Bourgerie; [2023]
    Nyckelord :5G 4G; Federated Learning; Graoh Learning; Graph-based Federated Learning; Temporal Graph Neural Networks; Time Series; Anomaly Detection; Fault Detection; 5G 4G; Federerat lärande; Graf lärande; Grafbaserat federerat lärande; Temporal Graph Neural Networks; Tidsserier; Upptäckt av anomalier; Upptäckt av fel;

    Sammanfattning : The increasing complexity of telecom networks, induced by the recent development of 5G, is a challenge for detecting faults in the telecom network. In addition to the structural complexity of telecommunication systems, data accessibility has become an issue both in terms of privacy and access cost. LÄS MER

  4. 3. Real-time forecasting of dietary habits and user health using Federated Learning with privacy guarantees

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sonia-Florina Horchidan; [2020]
    Nyckelord :Federated Learning; Time Series Forecasting; Clustering; Pattern Matching; Real-time Data Processing; Differential Privacy; Data Privacy.; Federerade Lärande; Tidsseriesprognos; Klustergruppering; Mönstermatchning; Realtidshantering av data; Differentialintegritet; Dataintegritet;

    Sammanfattning : Modern health self-monitoring devices and applications, such as Fitbit and MyFitnessPal, empower users to take concrete actions and set fitness and lifestyle goals based on their recorded trends and statistics. Predicting such trends is beneficial in the road of achieving long-time targets, as the individuals can adjust their diets and habits at any point to guarantee success. LÄS MER