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Advanced Topics in AI for Networking (Summer 2022)

Revision as of 14:42, 1 March 2022 by Yuan4 (talk | contribs) (→‎Requirements)

Details

Workload/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)
Lecturer: Prof. Xiaoming Fu; Dr. Tingting Yuan
Teaching assistant: [NA]
Time: Thu. 14:00-16:00
Place: IfI 0.101
UniVZ [1]


Announcements

Please contact me by email: weijun.wang@informatik.uni-goettingen.de or tingting.yuan@cs.uni-goettingen.de if you have any questions.

!!! the first classs will be online. Wait for the link.

Course Overview

The purpose of this seminar is to discuss some advanced topics in computer networks. This course is a theory-oriented research seminar (5 ECTS, 2 SWS), held on a weekly base and comprises the following components:

  • Weekly Presentation + Weekly Paper Reading and Discussion 50%
  • Final Presentation 25%
  • Final Report 25%

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

Requirements

  • Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
    • Summary of the paper
    • Pros and cons of the paper (your conclusion)
    • NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [Paper_Review_Form_ATCN_WS201112.doc]
  • During each weekly seminar, one participant is assigned for presenting the paper (each presentation lasts for ~20 minutes) and the list of pros and cons are discussed by all the participants.
  • In the middle of the semester, everyone is requested to prepare:
    • Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
    • Final presentation: each presentation lasts for ~20 minutes, plus ~10 minutes Q&A

List of Papers

1. Lightweight and Robust Representation of Economic Scales from Satellite Imagery [2]

2. AutoML for Video Analytics with Edge Computing [3]

3. Source Compression with Bounded DNN Perception Loss for IoT Edge Computer Vision [4]

4. NN-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices [5]

5. Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics [6]

6. Deep Interest Network for Click-Through Rate Prediction [7]

7. Energy-Efficient 3D Vehicular Crowdsourcing For Disaster Response by Distributed Deep Reinforcement Learning [8]

8. Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-Adapting Scheme [9]

9. Routing on Multiple Optimality Criteria[10]

10. Understanding, Detecting and Localizing Partial Failures in Large System Software [11]

11. Understanding Lifecycle Management Complexity of Datacenter Topologies [12]

Schedule

W1: Open Talk

W2: Assigenment Topics

W3: Paper ID:

W4: Paper ID:

W5: Paper ID:

W6: Paper ID:

W7: Paper ID:

W8: Paper ID:

W9: Paper ID:

W10: Paper ID:

W11: Paper ID:

Final Presentation

  • Paper Title:
  • Paper Title:
  • Paper Title:

Final Presentations & Report

  • Final Registration in FlexNow: To Be Announced (TBA).


  • Final Presentation:
    • Each for ~20 minutes, plus ~10 minutes Q&A


  • Final Presentation Slots:
    • To Be Announced (TBA)


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