Papers

Paper 1: Working on a Secure Collaborative Learning System Using Blockchain

Paper 2: Anomaly Detection in management execution systems

Paper 3: Real and AI-generated image detection
Target: KICS

Last Week's Progress

- Implementation of the model for anomaly detection (Autoencoder)
- Reading about Federated Learning, Secure Collaborative Learning, and anomaly detection models.
- Reading NSLab papers for presentation.

This Week Todo's

- Implementation of the model for anomaly detection (Autoencoder)
- Reading about Federated Learning, Secure Collaborative Learning, and anomaly detection models.
- Reading NSLab papers for presentation.

Project Progress

Project 1: Management Execution Systems.

Project 2: Data Distribution Services (DDSs).

Last Week's Project

Project 1: Management Execution Systems.
- Understanding the current anomaly detection algorithm implementation and dataset.

Project 2: Data Distribution Services (DDSs).
- Prepare a report on DDS & ROS2.
- Learning Data Distribution Services (DDSs).
- Learning ROS2 Framework.
- Preparing a simple prototype of Publisher/Subscriber.

This Week's Project

- Trying new models (Autoencoder) and data augmentation.
- Implementing simple DDS.

Monthly Goals

- Learning Autoencoder, Hyperledger Fabric, Robotics, DDS, ROS2.

Annual Goals

- Publish at least one Q1 International Journal
- Attend international conference and domestic conference