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Optimizing Real-Time Video Experience with Data Scalable Codec., , , , , , and . EMS@SIGCOMM, page 15-21. ACM, (2023)GRACE: Loss-Resilient Real-Time Video Communication Using Data-Scalable Autoencoder., , , , , , and . CoRR, (2022)Understanding the potential of server-driven edge video analytics., , , , and . HotMobile, page 8-14. ACM, (2022)Grace++: Loss-Resilient Real-Time Video Communication under High Network Latency., , , , , , and . CoRR, (2023)AccMPEG: Optimizing Video Encoding for Accurate Video Analytics., , , , , and . MLSys, mlsys.org, (2022)AccMPEG: Optimizing Video Encoding for Video Analytics., , , , , and . CoRR, (2022)Server-Driven Video Streaming for Deep Learning Inference., , , , , , and . SIGCOMM, page 557-570. ACM, (2020)OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation., , , , , , , and . SoCC, page 158-176. ACM, (2023)GRACE: Loss-Resilient Real-Time Video through Neural Codecs., , , , , , , , , and 3 other author(s). NSDI, page 509-531. USENIX Association, (2024)