Advanced topics in mobile and social computing (AToMSC) (Winter 2019/2020): Difference between revisions
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* 05 Dec. 2019 | * 05 Dec. 2019 | ||
*** | **'''Differential Privacy in networks''' | ||
***Abadi, Martin, et al, [https://dl.acm.org/citation.cfm?id=2978318 Deep learning with differential privacy], ACM CCS 2016. ('''Presented by ''') | |||
* 12 Dec. 2019 (Final topics release) | * 12 Dec. 2019 (Final topics release) | ||
*** | **'''Differential Privacy in networks''' | ||
***Yu, Lei, et al, [https://arxiv.org/pdf/1904.02200.pdf Differentially private model publishing for deep learning], 2019. ('''Presented by ''') | |||
* 19 Dec. 2019 | |||
**''' | * 19 Dec. 2019 | ||
*** | **'''Differential Privacy in networks''' | ||
***Zhang, Zhikun, et al, [https://dl.acm.org/citation.cfm?id=3243742 Calm: Consistent adaptive local marginal for marginal release under local differential privacy], ACM CCS 2019. ('''Presented by ''') | |||
* 09 Jan. 2020 | * 09 Jan. 2020 | ||
**''' | **'''Dynamic Adaptive Streaming over QUIC''' | ||
***Bogle, Jeremy, et al, [https://dl.acm.org/citation.cfm?id=3341302.3342069 TEAVAR: striking the right utilization-availability balance in WAN traffic engineering], ACM Sigcomm 2019. ('''Presented by ''') | |||
*** | |||
* 16 Jan. 2020 | * 16 Jan. 2020 | ||
**''' | **'''Dynamic Adaptive Streaming over QUIC''' | ||
*** | ***ELi, Yuliang, et al, [https://dl.acm.org/citation.cfm?id=3342085 HPCC: high precision congestion control], ACM Sigcomm 2019. ('''Presented by ''') | ||
* 23 Jan. 2020 | * 23 Jan. 2020 | ||
**'''Dynamic Adaptive Streaming over QUIC | **'''Dynamic Adaptive Streaming over QUIC''' | ||
*** | ***Shou-Cheng Yen, et al, [https://dl.acm.org/citation.cfm?id=3325616 Streaming 360° videos to head-mounted virtual reality using DASH over QUIC transport protocol], ACM PV. 2019 ('''Presented by ''') | ||
==Final Presentations & Report== | ==Final Presentations & Report== |
Revision as of 18:17, 24 October 2019
Details
Workload/ECTS Credits: | 5 ECTS |
Module: | Please refer to below univz. |
Lecturer: | Prof. Xiaoming Fu; Dr. Yali Yuan |
Teaching assistant: | [] |
Time: | Thu. 14:00-16:00 |
Place: | IfI 0.101 |
UniVZ | [1] |
Course Overview
The purpose of this seminar is to discuss some advanced topics in Mobile computing, big data and social computing. This course is a theory-oriented but with practical implications research seminar (5 ECTS), held on a weekly base and comprising the following components:
- Weekly Presentation + Weekly Paper Reading and Discussion
- Final Presentation
- Final Report
The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN, JSAC, TMC, TPDS, TKDD, TKDE, ACM Transactions on Social Computing, SIGCOMM, CoNEXT, SIGMETRICS, INFOCOM, USENIX ATC, MOBICOM, MOBIHOC, MobiSys, Middleware, WWW, KDD, WSDM, ICWSM, SIGIR, CIKM, ASONAM, CIKM, NIPS, AAAI, IJCAI, ICDM, PERCOM, UbiComp, CSCW, ICIS, or from practical systems and case studies.
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 for ~30 minutes). And the list of pros and cons is discussed by all the participants.
- In the middle of the semester, everyone is requested to pick a topic and prepare:
- Final report: prepare an essay (8~9 pages, single column) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
- Final presentation: each presentation for ~20 minutes, plus ~10 minutes Q&A
Schedule
- 24 Oct. 2019
- Informational Meeting
- 7 Nov. 2019
- Object detection in autonomous driving
- Ngiam, Jiquan, et al, StarNet: Targeted Computation for Object Detection in Point Clouds, 2019. (Presented by )
- Object detection in autonomous driving
- 14 Nov. 2019
- Object detection in autonomous driving
- Liang, Ming, et al, Multi-Task Multi-Sensor Fusion for 3D Object Detection, IEEE CVPR 2019. (Presented by )
- Object detection in autonomous driving
- 21 Nov. 2019
- Object detection in autonomous driving
- Zhou, Yin, et al, End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds, 2019. (Presented by )
- Object detection in autonomous driving
- 28 Nov. 2019
- Object detection in autonomous driving
- Deng, Jian, et al, MLOD: A multi-view 3D object detection based on robust feature fusion method, 2019. (Presented by )
- Object detection in autonomous driving
- 05 Dec. 2019
- Differential Privacy in networks
- Abadi, Martin, et al, Deep learning with differential privacy, ACM CCS 2016. (Presented by )
- Differential Privacy in networks
- 12 Dec. 2019 (Final topics release)
- Differential Privacy in networks
- Yu, Lei, et al, Differentially private model publishing for deep learning, 2019. (Presented by )
- Differential Privacy in networks
- 19 Dec. 2019
- Differential Privacy in networks
- Zhang, Zhikun, et al, Calm: Consistent adaptive local marginal for marginal release under local differential privacy, ACM CCS 2019. (Presented by )
- Differential Privacy in networks
- 09 Jan. 2020
- Dynamic Adaptive Streaming over QUIC
- Bogle, Jeremy, et al, TEAVAR: striking the right utilization-availability balance in WAN traffic engineering, ACM Sigcomm 2019. (Presented by )
- Dynamic Adaptive Streaming over QUIC
- 16 Jan. 2020
- Dynamic Adaptive Streaming over QUIC
- ELi, Yuliang, et al, HPCC: high precision congestion control, ACM Sigcomm 2019. (Presented by )
- Dynamic Adaptive Streaming over QUIC
- 23 Jan. 2020
- Dynamic Adaptive Streaming over QUIC
- Shou-Cheng Yen, et al, Streaming 360° videos to head-mounted virtual reality using DASH over QUIC transport protocol, ACM PV. 2019 (Presented by )
- Dynamic Adaptive Streaming over QUIC
Final Presentations & Report
- Final Registration in FlexNow: Time TBD.
- Final Presentation:
- Each for ~20 minutes, plus ~5 minutes Q&A
- Final Presentation Slots:
- 30 Jan. 2020 and 6 Feb. 2020
- Object detection in autonomous driving
- Differential Privacy in networks
- Dynamic Adaptive Streaming over QUIC
- Final Report:
- Essay ( 8~9 pages, single column, IEEE format)
- Due by 23:59pm 30 March 2020