[CS] Zhengxu Xia Candidacy Exam/June 5, 2024
Megan Woodward via cs
cs at mailman.cs.uchicago.edu
Tue Jun 4 08:51:01 CDT 2024
This is an announcement of Zhengxu Xia's Candidacy Exam.
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Candidate: Zhengxu Xia
Date: Wednesday, June 05, 2024
Time: 3:30 pm CT
Remote Location: https://uchicago.zoom.us/j/91658660927?pwd=bXJ3NUNseEU2cTB2SWFYQlBEQ21yZz09
Location: JCL 390
Title: Guided optimization for learning-based solutions for networking
Abstract: Unlike machine learning (ML) models trained for applications like object detection and classification which consume data and yield the output directly to the end users, many ML models trained for networking problems are often embedded between the application layer and the network due to the layered characteristics in computer networks. For example, reinforcement learning (RL) models trained for congestion control and adaptive bitrate streaming sit between the network and the video codec. Therefore, the diversity and dynamics of the application layer and the network can both affect the performance and the behavior of a ML model trained for networking problems. This work introduces how to guide the ML model training for networking to adapt to diverse network environments and application layer changes by leveraging heuristic based solutions or application layer entities like video codecs.
Advisors: Junchen Jiang
Committee Members: Junchen Jiang, Nick Feamster, and Francis Y. Yan
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