Essays about: "thesis for NETWORK devices"

Showing result 1 - 5 of 584 essays containing the words thesis for NETWORK devices.

  1. 1. Optical Communication using Nanowires and Molecular Memory Systems

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Synkrotronljusfysik

    Author : Thomas Kjellberg Jensen; [2024]
    Keywords : neuromorphic computing; nanowire; molecular dye; DASA photoswitch; OBIC; Physics and Astronomy;

    Abstract : Neuromorphic computational networks, inspired by biological neural networks, provide a possible way of lowering computational energy cost, while at the same time allowing for much more sophisticated devices capable of real-time inferences and learning. Since simulating artificial neural networks on conventional computers is particularly inefficient, the development of neuromorphic devices is strongly motivated as the reliance on AI-models increases. READ MORE

  2. 2. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Sofia Leksell; [2024]
    Keywords : Federated Learning; Adversarial Attacks; Regression; Classification;

    Abstract : 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

  3. 3. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Sofia Leksell; [2024]
    Keywords : Federated Learning; Adversarial Attacks; Regression; Classification;

    Abstract : 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

  4. 4. The Cost of Convenience: An Exploration of the Privacy Aspects in Period-Tracking Applications : A mixed-method study of perceived privacy by users in period-tracking applications

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Linnéa Beramand; [2023]
    Keywords : Femtech; Period-tracking; Actor-Network Theory; Privacy; Sceptical Design;

    Abstract : The increasing demand for female-centred services and devices in the digital era has challenged traditional notions of privacy. This thesis explores how users perceive privacy issues in period- tracking applications provided by various developers. READ MORE

  5. 5. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jiayi Feng; [2023]
    Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE