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 32 for “"Resource-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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Efficient Intelligence Towards Real-Time Precision Medicine With Systematic Pruning and Quantization
… in real-world 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 …
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Scalable Embedded Tiny Machine Learning (SETML): A General Framework for Embedded Distributed Inference
… of lightweight, 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 …
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Circuit and algorithm design to enable edge intelligence
… ever-demanding 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 …
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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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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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Key Management for Wireless Sensor Networks in Hostile Environments
… to attacks 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 …
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Physical layer security for IoT applications
… computational power, PLS is ideally suited for resource constrained devices. In detail, PLS can ensure security using the inherit randomness already present in the physical channel. Promising schemes from the physical layer include physical unclonable functions (PUFs), which are seen as the …
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Towards realizing the internet-of-things vision : in-body, homes, and farms
… and digital worlds by embedding computing devices into our environment. Today, there is a huge interest in IoT systems for smart homes, smart cities, digital healthcare, data-driven agriculture, etc. However, for these IoT systems to deliver their intended vision, we need to address two …
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C@t : a language for programming massively distributed embedded systems
… (even millions) of interacting computing devices. Due to the improvements in fabricating technologies, it is becoming possible to build tiny single-chip devices equipped with logic circuits, sensors, actuators and communication components. A large number of these devices can be networked …
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REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments
… communication efficiency. In practice, client devices in FL differ greatly in their computational power and communication resources. This is exacerbated by unbalanced data distribution, resulting in an overall increase in training times and the consumption of more bandwidth. In this work, we …
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Assemblies of Pervasive Services
… as a lightweight mechanism for combination of devices and services in pervasive computing environments. The assembly is intended to be modifiable by an end user, and to facilitate ad-hoc combinations of services as well as adaptations to changes in services. It does so by separating …
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Predictable Real-Time Wireless Networking For Sensing And Control
… routing and may well have to be executed by resource-constrained devices in a distributed manner; the highly-varying nature of link/path delays makes it necessary to adapt to in-situ delay conditions in real-time routing, but it has been observed that delay-based routing can lead to …
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Practical packet combining for use with cooperative and non-cooperative ARQ schemes in wireless sensor networks
… nodes as much as possible. The issue of limited resources on current devices may therefore not improve much with future designs as a result. There is a pressing need, therefore, for simple, efficient protocols and algorithms that can maximise the use of available resources in an energy efficient …
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