- Fix dataset selection: now properly switches between MNIST, CIFAR-10, and Fashion-MNIST
- Add ResNet-18 architecture option alongside existing MLP and CNN models
- Implement dynamic data preprocessing based on model architecture (flatten for MLPs, keep 2D/3D for CNNs)
- Add model architecture parameter to frontend and backend
- Cache trainers by dataset+architecture combination for efficiency
- Update privacy budget calculations to use correct dataset sizes
- Support for all architecture combinations across datasets
Replace the dummy data with true dataset
Shuya Feng
e3e63bf
udpate
Shuya Feng
b0b2c21
Update gradients clipping chart
Shuya Feng
8ad5d56
chore: Remove old HTML files
Shuya Feng
adae711
feat: Implement DP-SGD Explorer web application with Flask backend, interactive frontend, and easy deployment script
