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DeepCC: Bridging the Gap Between Congestion Control and Applications via Multi-Objective Optimization.

, , , , , and . CoRR, (2021)

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Low-Latency Networking: Architecture, Techniques, and Opportunities., , , , and . IEEE Internet Comput., 22 (5): 56-63 (2018)Digital Twin for Networking: A Data-driven Performance Modeling Perspective., , , , and . CoRR, (2022)The ACM Multimedia 2021 Meet Deadline Requirements Grand Challenge., , , , , , , , and . ACM Multimedia, page 4863-4867. ACM, (2021)Machine Learning for Networking: Workflow, Advances and Opportunities., , , , and . IEEE Netw., 32 (2): 92-99 (2018)Machine Learning for Internet Congestion Control: Techniques and Challenges., , , , and . IEEE Internet Comput., 23 (5): 59-64 (2019)DeepCC: Bridging the Gap Between Congestion Control and Applications via Multi-Objective Optimization., , , , , and . CoRR, (2021)Datacenter Network Deserves Better Traffic Models., , , , , , and . HotNets, page 124-130. ACM, (2023)Digital Twin for Networking: A Data-Driven Performance Modeling Perspective., , , , and . IEEE Netw., 37 (3): 202-209 (May 2023)Machine Learning for Networking: Workflow, Advances and Opportunities., , , , and . CoRR, (2017)Adaptive Bitrate with User-level QoE Preference for Video Streaming., , , and . INFOCOM, page 1279-1288. IEEE, (2022)