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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers., , , , , , , , and . CoRR, (2020)Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems., , , , and . ICDCS, page 453-463. IEEE, (2020)Video Analytics - Killer App for Edge Computing., , , , , and . MobiSys, page 695-696. ACM, (2019)Visor: Privacy-Preserving Video Analytics as a Cloud Service., , , , and . USENIX Security Symposium, page 1039-1056. USENIX Association, (2020)RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics., , , , , , , and . NSDI, page 917-932. USENIX Association, (2023)Vulcan: Automatic Query Planning for Live ML Analytics., , , , , , , and . NSDI, USENIX Association, (2024)Zooming in on wide-area latencies to a global cloud provider., , , , , , , and . SIGCOMM, page 104-116. ACM, (2019)Towards memory-efficient inference in edge video analytics., , , , , , and . HotEdgeVideo@MobiCom, page 31-37. ACM, (2021)Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge., , , , , , , and . NSDI, page 973-994. USENIX Association, (2023)Scaling Video Analytics Systems to Large Camera Deployments., , , , and . HotMobile, page 9-14. ACM, (2019)