Sökning: "Distributed Machine Learning"

Visar resultat 1 - 5 av 121 uppsatser innehållade orden Distributed Machine Learning.

  1. 1. Learning a Grasp Prediction Model for Forestry Applications

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Elias Olofsson; [2024]
    Nyckelord :Forwarder; Autonomous grasping; Deep learning; Multibody dynamics; Convolutional neural network;

    Sammanfattning : Since the advent of machine learning and machine vision methods, progress has been made in tackling the long-standing research question of autonomous grasping of arbitrary objects using robotic end-effectors. Building on these efforts, we focus on a subset of the general grasping problem concerning the automation of a forwarder. LÄS MER

  3. 2. DISTRIBUTED ARTIFICIAL INTELLIGENCE FOR ANOMALY DETECTION IN A MODULAR MANUFACTURING ENVIRONMENT

    Magister-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Hana Hodzic; [2023]
    Nyckelord :;

    Sammanfattning : This thesis investigates anomaly detection and classification in a simulated modular manufacturingenvironment using Machine Learning algorithm Random Forest. This algorithm is tested on a localcomputer and an embedded device, specifically the Raspberry PI. LÄS MER

  4. 3. Control perspective on distributed optimization

    Kandidat-uppsats, Uppsala universitet/Sannolikhetsteori och kombinatorik

    Författare :Sam Farkhooi; [2023]
    Nyckelord :Distributed optimization; control; PI; gradient descent;

    Sammanfattning : In the intersection between machine learning, artificial intelligence and mathe- matical computation lies optimization. A powerful tool that enables us to solve a variety of large scale problems. The purpose of this work is to explore optimiza- tion in the distributed setting. LÄS MER

  5. 4. Over-the-Air Federated Learning with Compressed Sensing

    Master-uppsats, Linköpings universitet/Kommunikationssystem

    Författare :Adrian Edin; [2023]
    Nyckelord :machine learning; ML; Federated Learning; FL; Over-the-air; Over-the-air computation; OtA; OtA computation; AirComp; Compressed sensing; CS; Iterative Hard thresholding; IHT;

    Sammanfattning : The rapid progress with machine learning (ML) technology has solved previously unsolved problems, but training these ML models requires ever larger datasets and increasing amounts of computational resources. One potential solution is to enable parallelization of the computations and allow local processing of training data in distributed nodes, such as Federated Learning (FL). LÄS MER

  7. 5. Optimization of the Cloud-Native Infrastructure using Artificial Intelligence

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

    Författare :Animesh Singh; [2023]
    Nyckelord :Artificial Intelligence; Test Channel Build; Test Channel Scheduling; Artificiell intelligens; Byggning av testkanal; Schemaläggning av testkanal;

    Sammanfattning : To test Cloud RAN applications, such as the virtual distributed unit (vDU) and centralized virtual unit (vCU), a test environment is required, commonly known as a “test bed” or “test channel”. This test bed comprises various cloudnative infrastructures, including different hardware and software components. LÄS MER