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Accelerating on-device DNN inference during service outage through scheduling early exit.

, , , , , и . Comput. Commun., (2020)

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Liming Zhu

Liming Lu

Liming Gao

Liming Wang

Liming Zhan

 

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ASRSR: Adaptive Sending Resolution and Super-resolution for Real-time Video Streaming., , , и . Q2SWinet, стр. 61-68. ACM, (2023)Learning Early Exit for Deep Neural Network Inference on Mobile Devices through Multi-Armed Bandits., , , , и . CCGRID, стр. 11-20. IEEE, (2021)SEE: Scheduling Early Exit for Mobile DNN Inference during Service Outage., , , , , и . MSWiM, стр. 279-288. ACM, (2019)3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video., , и . AI (1), том 14471 из Lecture Notes in Computer Science, стр. 165-177. Springer, (2023)Dynamic path learning in decision trees using contextual bandits., , , , и . World Wide Web (WWW), 26 (1): 271-296 (января 2023)eDeepSave: Saving DNN Inference using Early Exit During Handovers in Mobile Edge Environment., , , , и . ACM Trans. Sens. Networks, 17 (3): 30:1-30:28 (2021)Semi-Online Multi-Machine with Restart Scheduling for Integrated Edge and Cloud Computing Systems., , , , , , и . ICPP, стр. 70:1-70:13. ACM, (2022)Accelerating on-device DNN inference during service outage through scheduling early exit., , , , , и . Comput. Commun., (2020)Real-time Night Surveillance Video Retrieval through Calibrated Denoising and Super-resolution., , , , и . IJCNN, стр. 1-10. IEEE, (2023)DeepSave: saving DNN inference during handovers on the edge., , , , и . SEC, стр. 166-178. ACM, (2019)