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Advanced Topics in AI for Networking (Summer 2022): Difference between revisions

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Advanced Topics in AI for Networking (Summer 2022) (view source)

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{{CourseDetails
{{CourseDetails
|credits=5 ECTS
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|module=M.Inf.1123 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu];  [http://www.net.informatik.uni-goettingen.de/?q=people/dr-tingting-yuan, Dr. Tingting Yuan]
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu];  [http://www.net.informatik.uni-goettingen.de/?q=people/dr-tingting-yuan, Dr. Tingting Yuan]
|ta=[NA]
|ta=[NA]
|time=Wednesday 14:00-16:00
|time=Wednesday 14:00-16:00
|place=IfI 0.101
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=296747&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}
}}


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==List of Papers ==
==List of Papers ==


demo: (Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning [https://www.usenix.org/conference/osdi21/presentation/qiao])[A]
Demo: Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning [https://www.usenix.org/conference/osdi21/presentation/qiao][A]


1. Lightweight and Robust Representation of Economic Scales from Satellite Imagery [https://ojs.aaai.org/index.php/AAAI/article/download/5379/5235] [L]
1. Lightweight and Robust Representation of Economic Scales from Satellite Imagery [https://ojs.aaai.org/index.php/AAAI/article/download/5379/5235] [L]
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W5: Paper ID: 3, 4 (18.05)
W5: Paper ID: 3, 4 (18.05)


W7: Paper ID: 5, 6 (01.06)
W7: Paper ID: 5, 12 (01.06)


'''!! 25.06 deadline for registration on Flexnow'''
'''!! 25.06 deadline for registration on Flexnow'''
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*'''Paper Title''': 7
*'''Paper Title''': 7
*'''Paper Title''': demo
*'''Paper Title''': demo


Report deadline (30.07)
Report deadline (30.07)
Yuan4
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