GitHub - anloganathan/fog-edge-computing: a customized federated learning model for achieving good user model accuracy locally and globally without compromising user privacy.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.gitignore		.gitignore
data_utils.py		data_utils.py
dset-mnist_alg-fedadam_C-0.5_B-20_T-400_E-1_device-cpu_W-200_seed-2_lr-0.5_noisy_frac-0.2_bn_private-usyb_server_lr-0.2_beta1-0.5_beta2-0.5_epsilon-0.5.pkl		dset-mnist_alg-fedadam_C-0.5_B-20_T-400_E-1_device-cpu_W-200_seed-2_lr-0.5_noisy_frac-0.2_bn_private-usyb_server_lr-0.2_beta1-0.5_beta2-0.5_epsilon-0.5.pkl
dset-mnist_alg-fedavg-adam_C-0.5_B-20_T-400_E-1_device-cpu_W-200_seed-2_lr-0.5_noisy_frac-0.2_bn_private-usyb_beta1-0.5_beta2-0.5_epsilon-0.5.pkl		dset-mnist_alg-fedavg-adam_C-0.5_B-20_T-400_E-1_device-cpu_W-200_seed-2_lr-0.5_noisy_frac-0.2_bn_private-usyb_beta1-0.5_beta2-0.5_epsilon-0.5.pkl
dset-mnist_alg-fedavg_C-0.5_B-20_T-400_E-1_device-cpu_W-200_seed-2_lr-0.5_noisy_frac-0.2_bn_private-usyb.pkl		dset-mnist_alg-fedavg_C-0.5_B-20_T-400_E-1_device-cpu_W-200_seed-2_lr-0.5_noisy_frac-0.2_bn_private-usyb.pkl
fl_algs.py		fl_algs.py
fog-review-3-final-report.pdf		fog-review-3-final-report.pdf
main.py		main.py
models.py		models.py
optimisers.py		optimisers.py
output.ipynb		output.ipynb