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 4 of 4 for “"On-Device Training"”.
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Efficient Continual Learning and On-Device Training for Mobile and IoT Devices
The surge in mobile 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 …
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Personalized and Communication Cost Reduction Models in Federated Learning
… Intelligence (AI) has widespread applications, including adding personalization to the customer experience, or lifestyle recommendations that sometimes raise concern regarding data privacy; especially in medical applications. Federated learning is used to solve this problem of user privacy. …
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Energy and time efficient federated learning
… decade, the volume of data generated by edge devices has grown exponentially as the number of edge devices surges. Federated learning (FL) enables on-device training while preserving privacy, but edge devices typically operate under tight time and energy budgets, highlighting the need for …
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Learning to Adapt to Diverse Data and Systems Heterogeneity
Deep learning has revolutionized the field of artificial intelligence (AI), leading to significant advancements in various industries and seamlessly integrating into our everyday lives. From playing a crucial role in autonomous vehicles to aiding in disease diagnosis, deep learning has enabled …