Advanced Topics in AI for Networking (Winter 2022/2023): Difference between revisions

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Advanced Topics in AI for Networking (Winter 2022/2023) (view source)

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3. NeuroScaler: neural video enhancement at scale [https://dl.acm.org/doi/10.1145/3544216.3544218]
3. NeuroScaler: neural video enhancement at scale [https://dl.acm.org/doi/10.1145/3544216.3544218]


6. Deep Interest Network for Click-Through Rate Prediction [https://arxiv.org/pdf/1706.06978.pdf] [L]
4. Deep Interest Network for Click-Through Rate Prediction [https://arxiv.org/pdf/1706.06978.pdf] [L]


5. Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-Adapting Scheme [https://ieeexplore.ieee.org/document/9312434]


8. Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-Adapting Scheme [https://ieeexplore.ieee.org/document/9312434]
6. Routing on Multiple Optimality Criteria[https://dl.acm.org/doi/pdf/10.1145/3387514.3405864]


9. Routing on Multiple Optimality Criteria[https://dl.acm.org/doi/pdf/10.1145/3387514.3405864]
7. Understanding, Detecting and Localizing Partial Failures in Large System Software [https://www.cs.jhu.edu/~huang/paper/omegagen-nsdi20-preprint.pdf]


10. Understanding, Detecting and Localizing Partial Failures in Large System Software [https://www.cs.jhu.edu/~huang/paper/omegagen-nsdi20-preprint.pdf]
8. Understanding Lifecycle Management Complexity of Datacenter Topologies [https://www.cs.jhu.edu/~huang/paper/omegagen-nsdi20-preprint.pdf] [L]


11. Understanding Lifecycle Management Complexity of Datacenter Topologies [https://www.cs.jhu.edu/~huang/paper/omegagen-nsdi20-preprint.pdf] [L]
8. ACC: Automatic ECN Tuning for High-Speed Datacenter Networks [https://dl.acm.org/doi/pdf/10.1145/3452296.3472927][A]


12. ACC: Automatic ECN Tuning for High-Speed Datacenter Networks [https://dl.acm.org/doi/pdf/10.1145/3452296.3472927][A]
10. Seven Years in the Life of Hypergiants’ Off-Nets [https://dl.acm.org/doi/pdf/10.1145/3452296.3472928]


13. Seven Years in the Life of Hypergiants’ Off-Nets [https://dl.acm.org/doi/pdf/10.1145/3452296.3472928]
11. ATP: In-network Aggregation for Multi-tenant Learning [https://www.usenix.org/system/files/nsdi21-lao.pdf]


14. ATP: In-network Aggregation for Multi-tenant Learning [https://www.usenix.org/system/files/nsdi21-lao.pdf]
12. Segcache: a memory-efficient and scalable in-memory key-value cache for small objects[https://www.usenix.org/system/files/nsdi21-yang.pdf]


15. Segcache: a memory-efficient and scalable in-memory key-value cache for small objects[https://www.usenix.org/system/files/nsdi21-yang.pdf]
13. MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation [https://www.usenix.org/system/files/osdi21-kumar.pdf]
 
16. MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation [https://www.usenix.org/system/files/osdi21-kumar.pdf]


==Schedule==
==Schedule==
Yuan4
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