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Two-level Graph Caching for Expediting Distributed GNN Training.

, , and . INFOCOM, page 1-10. IEEE, (2023)

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Scaling Geo-Distributed Network Function Chains: A Prediction and Learning Framework., , , and . IEEE J. Sel. Areas Commun., 37 (8): 1838-1850 (2019)Efficient Pipeline Planning for Expedited Distributed DNN Training., , , , , , and . INFOCOM, page 340-349. IEEE, (2022)Joint Model and Data Adaptation for Cloud Inference Serving., , , , , , and . RTSS, page 279-289. IEEE, (2021)Optimizing distributed training deployment in heterogeneous GPU clusters., , , , , , , , and . CoNEXT, page 93-107. ACM, (2020)Online Cloud Resource Allocation and Pricing with Server Speed Scaling., , and . ICC, page 1-6. IEEE, (2018)A2FWPO: Anti-aliasing filter based on whale parameter optimization method for feature extraction and recognition of dance motor imagery EEG., , and . Comput. Sci. Inf. Syst., 20 (4): 1849-1868 (2023)Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration., , and . INFOCOM, page 890-899. IEEE, (2022)An Online Algorithm for VNF Service Chain Scaling in Datacenters., and . IEEE/ACM Trans. Netw., 28 (3): 1061-1073 (2020)Two-level Graph Caching for Expediting Distributed GNN Training., , and . INFOCOM, page 1-10. IEEE, (2023)Fast Training of Deep Learning Models over Multiple GPUs., , , , , , , and . Middleware, page 105-118. ACM, (2020)