Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 53 for “"Constrained Devices"”.
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Federated Learning for Resource Constrained Devices
As resource constrained edge devices become increasingly more powerful, they are able to provide a larger quantity of higher quality data. However, as these devices are decentralized, it becomes difficult to gain insights from multiple devices at the same time. Federated learning allows us to learn …
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Vulnerability-Tolerant Architectures for Resource-Constrained Devices
L'abstract è presente nell'allegato / the abstract is in the attachment
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Secure Access to Outsourced Data from Resource-Constrained Devices
Resource-constrained mobile devices, such as smart phones, wearables, and IoT devices, have produced many exciting and innovative applications by leveraging the extensive data storage and processing abilities of the cloud. Cloud data is expected to be stored in encrypted form to minimise the …
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Energy conserving privacy enhancing algorithms for resource-constrained devices
Resource-constrained devices such as wireless sensor networks, body area networks, or smart phones collect confidential and sensitive information about their users. Traditional solutions to protect these data, such as encryption, consume a significant amount of resources to be viable. In this …
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Lightweight cryptographic protocols for mobile devices
In recent years, a wide range of resource-constrained devices have been built and integrated into many networked systems. These devices collect and transfer data over the Internet in order for users to access the data or to control these devices remotely. However, the data also may contain …
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Efficient Privacy-Aware Imagery Data Analysis
… and camera-coupled Internet of Thing (IoT) devices triggers an explosive growth of imagery data. To extract and process the rich contents contained in imagery data, various image analysis techniques have been investigated and applied to a spectrum of application scenarios. In recent years, …
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Multi-layered security in the Internet of the Things
… can be effectively applied to a network of constrained nodes in a lossy communications environment. This thesis provides a survey into what routing protocols can be used with network security in mind. What will also be discussed, is an implementation, that in conjunction which a robust …
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Efficient Intelligence Towards Real-Time Precision Medicine With Systematic Pruning and Quantization
… applications, particularly on resource-constrained devices, is hindered by their computational complexity and memory requirements. This research investigates the application of pruning and quantization techniques to optimize CNNs for arrhythmia classification using the MIT-BIH Arrhythmia …
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Scalable Embedded Tiny Machine Learning (SETML): A General Framework for Embedded Distributed Inference
… energyefficient solutions for resource-constrained devices such as the STM32C011F6 microcontroller. However, such devices struggle with supporting larger models even after miniaturization techniques such as quantization and pruning. To facilitate machine learning inference on such …
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Communication Efficiency: Superposition Strategies and Early Decoding
… work studies communication strategies for energy-constrained devices, where frequent feedback may be impractical. In such settings, devices may tolerate reduced reliability or partial message recovery in order to preserve essential functionality. After characterizing this problem, two schemes that …
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Circuit and algorithm design to enable edge intelligence
… artificial intelligence on resource-constrained devices with a slowly-evolving technology node. Moreover, as an emerging field, a systematic investigation is required to facilitate future EI research. This work tends to provide such a comprehensive study on circuit and algorithm …
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Enabling Approximate Storage through Lossy Media Data Compression
… demand for RMS application deployment in battery constrained devices, such as mobile and Internet-of-Things, designers will need novel techniques to improve system energy consumption and performance. Fortunately, many RMS applications demonstrate inherent error resilience, a property that allows …
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Scalable authentication for consumer-side smart grid Internet of Things
… an increased interaction between the computing devices. The transformation of the Internet of Computers (IoC) into the Internet of Things (IoT) elicits the need to revisit security schemes and to ask questions about their scalability. The need for such questions is further motivated by the …
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Efficient Continual Learning and On-Device Training for Mobile and IoT Devices
… phones, wearables, and Internet of Things (IoT) devices has resulted in an abundance of sensor data. This played a pivotal role in the widespread adoption of deep neural networks (DNN) to support various real-world scenarios in mobile computing, including personalising user experiences and …
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Model-driven dual caching For nomadic service-oriented architecture clients
Mobile devices have evolved over the years from resource constrained devices that supported only the most basic tasks to powerful handheld computing devices. However, the most significant step in the evolution of mobile devices was the introduction of wireless connectivity which enabled them to …
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Communication-efficient personalization in federated learning for edge devices
… across distributed, streaming signals on constrained devices. Finally, we develop adaptive federated distillation with dual adapters and instance-wise fusion, aligning shared knowledge at the server while preserving client-specific representations to improve personalization under non-IID …
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Design and implementation of a secure energy-efficient hardware platform for wireless sensor networks
Wireless sensor networks are networks of resource-constrained devices that collaborate to sense data about an environment and route it back to a resource-plenty gateway device that is connected to the Internet for processing. Oftentimes, wireless sensor networks are deployed in hazardous or hard to …
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Support for Accessible Bitsliced Software
… with reduced-precision computation on highly constrained devices. To address the data transposition overhead and to support a hardware attack-resistant architecture, a custom DMA controller is introduced that efficiently transposes the data as it transfers along with dedicated hardware for …
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Key Management for Wireless Sensor Networks in Hostile Environments
… because they consist of numerous resource-constrained devices and communicate via wireless links. These vulnerabilities are exacerbated when WSNs have to operate unattended in a hostile environment, such as battlefields. In such an environment, an adversary poses a physical threat to all …
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Privacy-aware Federated Learning with Global Differential Privacy
… networks become more widely used in embedded devices with limited resources. Spiking neural networks (SNNs) are proving to be a more energy-efficient option to conventional Artificial neural networks (ANNs), which are recognized for being computationally heavy. Despite its significance, there …
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