Research
My research interests are at the intersection of networked system and machine learning in the context of data-intensive computing, including big data systems for scale-out ML and federated data analytics.
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FedScale: Benchmarking Model and System Performance of Federated Learning
Fan Lai,
Yinwei Dai,
Sanjay Singapuram,
Jiachen Liu,
Xiangfeng Zhu,
Harsha Madhyastha,
Mosharaf Chowdhury
ICML, 2022(to appear) Acceptance Rate: 21.94%
/ Website
/ Github
Short Version: Best Paper Award @
ResilientFL at SOSP, 2021
Paper
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Talk
We present FedScale, a diverse set of challenging and realistic benchmark datasets to facilitate scalable, comprehensive, and reproducible federated learning (FL) research.
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ModelKeeper: Accelerating DNN Training via Automated Training Warmup
Fan Lai,
Yinwei Dai,
Harsha Madhyastha,
Mosharaf Chowdhury
NSDI, 2023 (to appear) Acceptance Rate: 18.38%
We introduce ModelKeeper, a cluster-scale model service framework to accelerate DNN training, by reducing the computation needed for achieving the same model performance via automated model transformation
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Projects
Interesting projects I have done.
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2-way superscalar P6 processor
Code
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Report
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Slide
The project has built a P6-structure pipeline to handle RISC-V instructions. Some advanced
features such as superscalar execution are added to enhance processor performance.
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Compiler for Decaf Programming Language
Implementation of a full stack compiler including lexical scanning, parsing,
abstract syntax trees, semantic analysis, intermediate code generation,
MIPS code generation and optimization
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The Gold Rush: Multiplayer Online Game Made with Unity
Jiaxing Yang,
Siyuan Peng,
Weiliu Liu,
Yinwei Dai,
Zhiqi Chen
DevLog
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Trailer
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Github
The capstone project made by Godzilli Studio
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Black and White
Demo
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Github
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Download
A small puzzel game I made with unity. The player needs to change color space accordingly to pass each level
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The Legend of Zelda 1986: Remade with Unity
Yinwei Dai,
Zhiqi Chen
Demo
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Github
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Download
Reimplementation of classic The Legend of Zelda 1986 with Unity
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Graduate Student Instructor EECS 442 Computer Vision, Winter 2021
Graduate Student Instructor EECS 489 Computer Network, Fall 2021
Grader EECS 545 Introduction to Machine Learning, Winter 2020
Grader EECS 504, Introduction to Computer Vision, Winter 2020
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Program Commitee: NeurIPS (Datasets and Benchmarks) 2022
Artifact Evaluation Commitee: SIGCOMM 2022
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My name in Chinese:
If you want chat with me, you can find a slot here. Please also add the meeting link as well. :)
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