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.
Results
Showing 1 to 5 of 5 for “"Heterogeneous Computation"”.
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Power Analysis and Prediction for Heterogeneous Computation
… the total cost of acquisition and ownership of heterogeneous computing systems. To achieve this we take a two-fold approach. First, we explore the issue of greener device selection by characterizing device power and performance. For this, we explore previously untapped opportunities arising from …
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Dora: QoE-aware hybrid parallelism for distributed edge AI
… necessitating distributed execution across heterogeneous devices over variable and contention-prone networks. Existing planners for hybrid (e.g., data and pipeline) parallelism largely optimize for throughput or device utilization, overlooking QoE, leading to severe resource inefficiency …
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ACCELERATING DNN INFERENCE AND TRAINING IN DISTRIBUTED SYSTEMS
… the collaboration between local and remote computation resources. The collaboration between mobile devices and the cloud server could speed up the DNN inference. We propose to jointly consider the partition and scheduling of multiple DNNs. Our objective is to reduce the makespan that …
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Multi-server federated learning in vehicular edge computing
… highly non-IID and noisy data across vehicles, heterogeneous computation and communication resources, private training costs, intermittent connectivity, and the need to coordinate multiple servers. This thesis addresses these challenges through three complementary contributions. First, we …
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GNN-Enhanced Hierarchical Federated Learning in Device-to-Device Networks
… still faces inherent limitations, including heterogeneous device capabilities, non-independent and identically distributed (non-IID) local data, and dynamic network topologies, which can compromise global model convergence and training stability. Moreover, the growing complexity and diversity …