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MLPP: Exploring Transfer Learning and Model Distillation for Predicting Application Performance.

, and . NAS, page 1-4. IEEE, (2021)

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Cocktail: Leveraging Ensemble Learning for Optimized Model Serving in Public Cloud., , , , and . CoRR, (2021)Pushing Point Cloud Compression to the Edge., , , , , and . MICRO, page 282-299. IEEE, (2022)HoloAR: On-the-fly Optimization of 3D Holographic Processing for Augmented Reality., , , , , , , and . MICRO, page 494-506. ACM, (2021)Usas: A Sustainable Continuous-Learning' Framework for Edge Servers., , , , and . HPCA, page 891-907. IEEE, (2024)Exploiting Frame Similarity for Efficient Inference on Edge Devices., , , , , , , and . ICDCS, page 1073-1084. IEEE, (2022)Kraken: Adaptive Container Provisioning for Deploying Dynamic DAGs in Serverless Platforms., , , , , and . SoCC, page 153-167. ACM, (2021)Origin: Enabling On-Device Intelligence for Human Activity Recognition Using Energy Harvesting Wireless Sensor Networks., , , and . DATE, page 1414-1419. IEEE, (2021)Cocktail: A Multidimensional Optimization for Model Serving in Cloud., , , , , and . NSDI, page 1041-1057. USENIX Association, (2022)MLPP: Exploring Transfer Learning and Model Distillation for Predicting Application Performance., and . NAS, page 1-4. IEEE, (2021)Implications of Public Cloud Resource Heterogeneity for Inference Serving., , , , and . WOSC@Middleware, page 7-12. ACM, (2020)