Essays about: "Transmission model of training"

Showing result 1 - 5 of 13 essays containing the words Transmission model of training.

  1. 1. Over-the-Air Federated Learning with Compressed Sensing

    University essay from Linköpings universitet/Kommunikationssystem

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

    Abstract : 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). READ MORE

  2. 2. Using forest reflectance modelling to estimate albedo for narrow-view satellites

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap; Lunds universitet/Fysiska institutionen

    Author : Nick Bergmans; [2023]
    Keywords : satellite; remote sensing; albedo; surface reflectance; vegetation; forest; machine learning; albedo estimation; Earth and Environmental Sciences;

    Abstract : Surface albedo estimations from remote sensing are invaluable for energy balance descrip- tions in climate research. The aim of this work is to evaluate the possibility of using Sentinel-2 satellite data to get the total albedo of a small, vegetated area. READ MORE

  3. 3. More efficient training using equivariant neural networks

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Karl Bylander; [2023]
    Keywords : convolutional neural networks; equivariance; equivariant neural networks; transmission electron microscopy; machine learning;

    Abstract : Convolutional neural networks are equivariant to translations; equivariance to other symmetries, however, is not defined and the class output may vary depending on the input's orientation. To mitigate this, the training data can be augmented at the cost of increased redundancy in the model. READ MORE

  4. 4. Multivariate Time series Forecasting with applied Machine Learning on Electrical signals from High-Voltage Direct Current Equipment - Valve Cooling System

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Carolina Nilsson; [2022]
    Keywords : Machine Learning; LSTM; XGBoost; Forecast; HVDC; Valve Cooling System;

    Abstract : In a sustainable society, utilizing intermittent renewable power plants is an important building block for achieving green power production. However, the power production from these sources, e.g. READ MORE

  5. 5. Malicious Activity Detection in Encrypted Network Traffic using A Fully Homomorphic Encryption Method

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Resmi Adiyodi Madhavan; Ann Zenna Sajan; [2022]
    Keywords : Malicious Activity Detection; Cloud Computing; Network Traffic; Fully Homomorphic Encryption FHE ; Machine Learning; Random Forest RF ; Logistic Regession LR ;

    Abstract : Everyone is in need for their own privacy and data protection, since encryption transmission was becoming common. Fully Homomorphic Encryption (FHE) has received increased attention because of its capability to execute calculations over the encoded domain. Through using FHE approach, model training can be properly outsourced. READ MORE