GA-based joint schedulers for UAV data offloading and edge DNN inference achieve lower end-to-end latency than greedy baselines in simulations.
Sparse-DySta: Sparsity- aware dynamic and static scheduling for sparse multi-DNN workloads,
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A joint scheduling approach for multi-band radar sensing and DNN inference uses cross-stage parallelism to reduce end-to-end latency compared to sequential designs.
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Joint Scheduling of Sensing Data Offloading and Edge Inference for Multi-UAV Networks
GA-based joint schedulers for UAV data offloading and edge DNN inference achieve lower end-to-end latency than greedy baselines in simulations.
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Joint Scheduling of Multi-Band Radar Sensing and DNN Inference for Cross-Stage Parallelism
A joint scheduling approach for multi-band radar sensing and DNN inference uses cross-stage parallelism to reduce end-to-end latency compared to sequential designs.