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 6 of 6 for “"Edge networks"”.
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Distributed Machine Learning in Heterogeneous Edge Networks
The development of edge devices (e.g., smartphones, IoT sensors, and wearables) has led to a surge in data generated at the network's edge. Meanwhile, the complexity of machine learning models has increased significantly, with state-of-the-art models for tasks like natural language processing and …
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Application-specific transfer learning over edge networks
… techniques and transfer learning approaches over edge networks to enhance the performance and networking latency within discrete nodes. Edge networks are widely used to improve the efficiency and staging of any algorithm as the embedded systems focus on implementing some particular events based on …
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Computational Offloading for Real-Time Computer Vision in Unreliable Multi-Tenant Edge Systems
… in serving Computer Vision applications at the Edge, where Edge Devices generate vast quantities of data, clashes with the reality that many Devices are largely unable to process their data in real time. While computational offloading, not to the Cloud but to nearby Edge Nodes, offers convenient …
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Scaled: Scalable Federated Learning via Distributed Hash Table Based Overlays
… communication and aggregation of mil- lions of edge devices. In this paper, we propose Scalable Federated Learning via Distributed Hash Table Based Overlays for network (Scaled) to conduct multiple concurrently running FL-based applications over edge networks. Specifically, Scaled adopts a fully …
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Resource Optimization Strategies and Optimal Architectural Design for Ultra-Reliable Low-Latency Applications in Multi-Access Edge Computing
… this evolution focuses on ultra-dense edge networks with multi-access edge computing (MEC) facilities. MEC emerges as a solution, placing resourceful servers closer to users. However, the dynamic nature of processing and interaction patterns necessitates effective network control, which …
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Online Optimization for Edge Computing under Uncertainty in Wireless Networks
Edge computing is an emerging technology that can overcome the limitations of centralized cloud computing by enabling distributed, low-latency computation at a network edge. Particularly, in edge computing, some of the cloud's functionalities such as storage, processing, and computing are migrated …