View source for Advanced Topics in AI for Computing and Networking (Winter 2024/2025)

== Details ==

{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1123
|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]; Wenfang Wu; 
|ta=[NA]
|time=Thursday 14:00-16:00
|place=
}}

==Announcements==
Please contact me by email: wenfang.wu@cs.uni-goettingen.de if you have any questions.

==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 40%
* Final Presentation 40%
* Final Report 20%

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 on Wedesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc 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. NetLLM: Adapting Large Language Models for Networking [https://doi.org/10.1145/3651890.3672268]

2. m3: Accurate Flow-Level Performance Estimation using Machine Learning [https://doi.org/10.1145/3651890.3672243]

3. CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving [https://doi.org/10.1145/3651890.3672274]

4. Crux: GPU-Efficient Communication Scheduling for Deep Learning Training [https://doi.org/10.1145/3651890.3672239]

5. Dissecting Carrier Aggregation in 5G Networks: Measurement, QoE Implications and Prediction [https://doi.org/10.1145/3651890.3672250]

6. Transferable Neural WAN TE for Changing Topologies [https://dl.acm.org/doi/10.1145/3570361.3613299]

7. RDMA over Ethernet for Distributed Training at Meta Scale [https://doi.org/10.1145/3651890.3672233]

8. RedTE: Mitigating Subsecond Traffic Bursts with Real-time and Distributed Traffic Engineering [https://doi.org/10.1145/3651890.3672231] 

9. TopFull: An Adaptive Top-Down Overload Control for SLO-Oriented Microservices [https://doi.org/10.1145/3651890.3672253]

10. Smart Data-Driven Proactive Push to Edge Network [https://doi.org/10.1109/INFOCOM52122.2024.10621410]

11. A Generic Blockchain-based Steganography Framework with High Capacity via Reversible GAN [https://doi.org/10.1109/INFOCOM52122.2024.10621377]

12. Det-RAN: Data-Driven Cross-Layer Real-Time Attack Detection in 5G Open RANs [https://doi.org/10.1109/INFOCOM52122.2024.10621223]

13. TITANIC: Towards Production Federated Learning with Large Language Models [https://doi.org/10.1109/INFOCOM52122.2024.10621164]

14. Tomtit: Hierarchical Federated Fine-Tuning of Giant Models based on Autonomous Synchronization [https://doi.org/10.1109/INFOCOM52122.2024.10621369]

15. Predicting Multi-Scale Information Diffusion via Minimal Substitution Neural Networks [https://doi.org/10.1109/INFOCOM52122.2024.10621418]

16. Practical Adversarial Attack on WiFi Sensing Through Unnoticeable Communication Packet Perturbation [https://doi.org/10.1145/3636534.3649367]

17. Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving [https://doi.org/10.1145/3636534.3649352]

18. AutoDroid: LLM-powered Task Automation in Android [https://doi.org/10.1145/3636534.3649379]

19. FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices [https://doi.org/10.1145/3636534.3649391]

20. Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices [https://doi.org/10.1145/3636534.3649363]

21. Two-Stream Network for Sign Language Recognition and Translation [https://papers.nips.cc/paper_files/paper/2022/hash/6cd3ac24cdb789beeaa9f7145670fcae-Abstract-Conference.html]

22. LiveVV: Human-Centered Live Volumetric Video Streaming System [https://arxiv.org/abs/2310.08205]

23. MetaStream: Live Volumetric Content Capture, Creation, Delivery, and Rendering in Real Time [https://dl.acm.org/doi/10.1145/3570361.3592530]

==Schedule==
W1: Open Talk (24.10)

W2: Select papers and create schedule

W4: Paper ID:

W6: ...

W8: ...

W10: ...

W12: ...

W14: ..

'''!!  xx.xx deadline for registration on Flexnow'''

Final Presentation (xx.01)
*'''Paper Title''':
*'''Paper Title''':

Report deadline

==Final Presentations & Report==

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


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

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


*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 15th February.

[[Category:Courses]]