| { | |
| "flip_commit": "094d46999032452811dcd6357f22d9721c3e21c2", | |
| "install": "pip install \"flip-utils @ git+https://github.com/londonaicentre/FLIP@094d46999032452811dcd6357f22d9721c3e21c2#subdirectory=flip-utils\"", | |
| "launch": "cd fl-tutorials/nvflare/image_synthesis/autoencoder && python job.py --n_clients 2 --num_rounds 5", | |
| "note": "Runs predate the tutorials' move to fl-tutorials/nvflare/image_generation/ (a2c053ec4).", | |
| "sites": 2, | |
| "hardware": "1 x NVIDIA GeForce RTX 5090 (both simulated sites)", | |
| "versions": { | |
| "torch": "2.13.0+cu130", | |
| "monai": "1.6.0", | |
| "nvflare": "2.9.0" | |
| }, | |
| "wall_time": { | |
| "start": "2026-10-22 00:15:01", | |
| "end": "2026-10-22 07:03:52", | |
| "hours_minutes": "6 h 49 min" | |
| }, | |
| "model": "E2", | |
| "local_epochs": 25, | |
| "code_files": [ | |
| "config.json", | |
| "medicalnet_perceptual.py", | |
| "modality.py", | |
| "models.py", | |
| "plot_utils.py", | |
| "trainer.py", | |
| "transforms.py" | |
| ], | |
| "weights": { | |
| "file": "autoencoder.safetensors", | |
| "sha256": "2429ef23097905caddac770d6228438af687375a1988942f391cd734071a07f7", | |
| "dtype": "float32" | |
| }, | |
| "autoencoder_sha256": "8576bf403e1ca857d4c2fc125ff89d5a1a42a99a77627a3fa33c3369c839b6d9" | |
| } |