Changes between Version 97 and Version 98 of Other/Summer/2023/Inference
- Timestamp:
- Aug 8, 2023, 3:56:02 PM (16 months ago)
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Other/Summer/2023/Inference
v97 v98 115 115 * After analyzing latency, move on to accuracy tradeoffs using different thresholds 116 116 117 == Week 8 118 **Summary** 119 * Explored different research questions with the data collected 120 * Limited CPU power in terminal to imitate mobile devices 121 * Implemented different threshold values based on confidence for sending the data to the edge and server for inference 122 * Generated graphs for threshold vs latency 123 **Next Steps** 124 * Use PTP timing to get more precise time measurements 125 * After analyzing latency, move on to accuracy tradeoffs using different thresholds 117 == Results 118 [[Image(cam1-2 better.png)]] 126 119 127 120 … … 139 132 <a href="https://docs.google.com/presentation/d/1_iHN8Ii--qXU5rljfGRi2lQuaFMVv3BE5edFPcXJi2Q/edit?usp=sharing">Week 7</a>   140 133 134 <a href="https://docs.google.com/presentation/d/13Lkpe6GTxxFsbYqxPZ0sVprFMsdpvdkVQ7GSKM9dSU4/edit?usp=sharing">Final Presentation</a>   135 136 141 137 </p> 142 138 }}} 143 139 140 141 == References 142 143 N. Abbas, Y. Zhang, A. Taherkordi and T. Skeie, "[Mobile Edge Computing: A Survey](," in IEEE Internet of Things Journal 144 Teerapittayanon, S., McDanel, B., & Kung, H. T. (2017, June). Distributed deep neural networks over the cloud, the edge and end devices.