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ORCIDNetAI@SIGCOMM 2018: Budapest, Hungary
- Proceedings of the 2018 Workshop on Network Meets AI & ML, NetAI@SIGCOMM 2018, Budapest, Hungary, August 24, 2018. ACM 2018
Systems
- Jinkun Geng, Dan Li, Yang Cheng, Shuai Wang, Junfeng Li
:
HiPS: Hierarchical Parameter Synchronization in Large-Scale Distributed Machine Learning. 1-7 - Saim Salman, Christopher Streiffer, Huan Chen, Theophilus Benson, Asim Kadav:
DeepConf: Automating Data Center Network Topologies Management with Machine Learning. 8-14
Measurements 1
- Tong Yang, Lun Wang, Yulong Shen, Muhammad Shahzad, Qun Huang, Xiaohong Jiang, Kun Tan, Xiaoming Li:
Empowering Sketches with Machine Learning for Network Measurements. 15-20 - Johan Garcia, Topi Korhonen:
Efficient Distribution-Derived Features for High-Speed Encrypted Flow Classification. 21-27
Mobility
- Kai Lei, Meng Qin, Bo Bai, Gong Zhang:
Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks. 28-34 - Kun Tu, Bruno Ribeiro, Ananthram Swami, Don Towsley:
Tracking Groups in Mobile Network Traces. 35-40 - Cristina Cano, Gergely Neu:
Wireless Optimisation via Convex Bandits: Unlicensed LTE/WiFi Coexistence. 41-47
Caching, Forwarding, and TCP
- Arvind Narayanan, Saurabh Verma, Eman Ramadan, Pariya Babaie, Zhi-Li Zhang:
DeepCache: A Deep Learning Based Framework For Content Caching. 48-53 - Yi Zhang, Bo Bai, Kuai Xu, Kai Lei:
IFS-RL: An Intelligent Forwarding Strategy Based on Reinforcement Learning in Named-Data Networking. 54-59 - Yiming Kong, Hui Zang, Xiaoli Ma:
Improving TCP Congestion Control with Machine Intelligence. 60-66
Measurements 2
- Shihan Xiao, Dongdong He, Zhibo Gong:
Deep-Q: Traffic-driven QoS Inference using Deep Generative Network. 67-73 - Shobha Venkataraman, Jia Wang:
Assessing the Impact of Network Events with User Feedback. 74-79
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