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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers., , , , , , , , and . NSDI, page 119-135. USENIX Association, (2022)Federated Learning under Distributed Concept Drift., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 5834-5853. PMLR, (2023)Optical diagnostics of electrical discharge water spray reactors for chemical synthesis., , and . IAS, page 1-5. IEEE, (2011)The Non-IID Data Quagmire of Decentralized Machine Learning., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 4387-4398. PMLR, (2020)Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions., , , , and . CoRR, (2018)Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management., , , , , , , and . CoRR, (2018)Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking., , and . HotNets, page 53-60. ACM, (2021)A Case for Richer Cross-Layer Abstractions: Bridging the Semantic Gap with Expressive Memory., , , , , , , , and . ISCA, page 207-220. IEEE Computer Society, (2018)The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality In GPUs., , , , and . ISCA, page 829-842. IEEE Computer Society, (2018)Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems., , , , , , , and . ISCA, page 204-216. IEEE Computer Society, (2016)