{
 "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"
}