![[PukiWiki]](image/pukiwiki.png "[PukiWiki]")
AIRBiS project goal is to do pneumonia detection and analysis by using Convolutional Neural Network(CNN) on lung x-ray images. But, due to the nature of the distribution of data amongst hospitals and privacy concerns for hospitals as well as patients, a conventional approach of centralized training would not work in this kind of setting. To solve this problem, Federated learning is adopted to collaborate across multi-edge nodes without sharing the raw data and achieve good decentralized training results.
| Date | Task |
| ☑️June 1 - June 30, 2020 | Run demos, Read papers and books, Understand the basic concepts of CNN and federated learning |
| ☑️July 1 - July 31, 2020 | Do basic CNN and federated learning tutorials & implement own simple CNN and federated learning system |
| ☑️August 1 - September 30, 2020 | Explore different optimization options |
| ☑️September 20 - October 10, 2020 | Prepare for mid-term presentation |
| ☑️October 1 - November 22, 2020 | Implement communication between FL system with UI & Optimization |
| ☑️October 10 - December 20, 2020 | Write paper to International ACM conference |
| ☑️December 21 - January 31, 2020 | Revise conference paper and write graduation thesis. |
| ☑️February 1 - February 16, 2020 | Prepare for graduation thesis presentation. |
| ☑️February 1 - February 28, 2020 | Prepare for final submission for conference paper |
