Essays about: "on network devices"
Showing result 1 - 5 of 801 essays containing the words on network devices.
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1. Optical Communication using Nanowires and Molecular Memory Systems
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/SynkrotronljusfysikAbstract : 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
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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 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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3. Control system and simplified timesynchronization for heterogenous IoT systems with medium time requirements
University essay from KTH/Hälsoinformatik och logistikAbstract : The company QTPIE conducts research on drivers and their unconscious reactions when driving. To help, they use smart devices that today must be individually handled at the start and end of a run, and have individually set timestamps, which can lead to differences between the units when data is entered and collation of the units' data after a run. READ MORE
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4. 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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5. Case Study: Assessing the Security of a ZigBee Smart HomeNetwork
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Utilizing the ZigBee protocol is pervasive in the context of smart homes, offering substantial convenience to individuals. However, smart home devices commonly handle significant quantities of real-world information, potentially giving rise to concerns related to information leakage. READ MORE
