Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Archive Layout with Content
Markdown
Page not in menu
This is a page not in the main menu
Page Archive
Posts by Tags
Talk map
Talks and presentations
Jupyter notebook markdown generator
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
biography
portfolio
Security in Machine Learning
Data/Information security and privacy are increasingly important as ML methods become more powerful. Federated Learning (FL) serves as a method for
- protecting data security and privacy by keeping data localized
- parallelizing large-scale models through a divide-and-conquer approach
For FL algorithm efficiency, the Alternating Direction Method of Multipliers (ADMM) is a commonly used distributed/consensus optimization method for collaborative model training. Despite the data availability, FL also faces the following issues:
- Data distribution across clients: if data is distributed non-identically across nodes, it could negatively impact model convergence
- Privacy in model transmission: membership inference attacks, model inversion attacks
- Robustness in training: data poisoning attacks, Byzantine attacks, backdoor attacks
We work on FL schemes specifically to address these malicious attacks and to enhance efficiency and robustness of the training process.
Control Charts for Limited Phase I Data
In Statistical Process Control (SPC), the process is typically divided into two phases: Phase I and Phase II.
- During Phase I, data are collected to study the in-control (IC) distribution.
- In Phase II monitoring, the quality characteristics are sampled sequentially with the goal of detecting any deviation relative to the (estimated) IC process.
However, since the IC process is estimated from Phase I data, a sufficiently large amount of Phase I data is required for the monitoring scheme to attain its nominal power, which can be impractical in certain scenarios. Conventional approach with limited Phase I data includes the self-starting control chart. My research proposed two change-point detection EWMA control charts on Weibull data. The proposed methods can:
- monitor the process without knowing the in-control scale parameter with only a few Phase I in-control data
- estimate the unknown change-point and the in-control and out-of-control parameters at the same time when the proposed charts trigger a signal
- extend to Type II censored data to accommodate the censoring mechanism in lifetime experiments
publications
Federated Learning for Sparse Principal Component
Ciou, S. C., Chen, P. J., Tseng, E. Y., and Lee, Y. J. (2023)IEEE Big Data 2023, 1081-1086.
talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Tutorial 1 on Relevant Topic in Your Field
Talk 2 on Relevant Topic in Your Field
Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.