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Accelerating Distributed Machine Learning by Smart Parameter Server.

, , and . APNet, page 92-98. ACM, (2019)

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ElasticPipe: An Efficient and Dynamic Model-Parallel Solution to DNN Training., , and . ScienceCloud@HPDC, page 5-9. ACM, (2019)Incorporating Intra-flow Dependencies and Inter-flow Correlations for Traffic Matrix Prediction., , , , , , and . IWQoS, page 1-10. IEEE, (2020)DLBooster: Boosting End-to-End Deep Learning Workflows with Offloading Data Preprocessing Pipelines., , , , , , , , , and 4 other author(s). ICPP, page 88:1-88:11. ACM, (2019)Web Service Recommendation based on Knowledge Graph Convolutional Network and Doc2Vec., , , , , and . SERVICES, page 95-100. IEEE, (2020)LOS: A High Performance and Compatible User-level Network Operating System., , , , , , and . APNet, page 50-56. ACM, (2017)Xenos : Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices., , , , , , , , , and . DASFAA (1), volume 13943 of Lecture Notes in Computer Science, page 535-545. Springer, (2023)Dante: Enabling FOV-Aware Adaptive FEC Coding for 360-Degree Video Streaming., , , , , , , and . APNet, page 15-21. ACM, (2018)Sphinx: A Transport Protocol for High-Speed and Lossy Mobile Networks., , , , , , , and . IPCCC, page 1-8. IEEE, (2019)Horizontal or Vertical?: A Hybrid Approach to Large-Scale Distributed Machine Learning., , and . ScienceCloud@HPDC, page 1-4. ACM, (2019)Impact of Synchronization Topology on DML Performance: Both Logical Topology and Physical Topology., , and . IEEE/ACM Trans. Netw., 30 (2): 572-585 (2022)