You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I used FedKD to train on TinyImagenet dataset. Sometimes this bug (LinAlgError: SVD did not converge) will come out from this line: u, sigma, v = np.linalg.svd(param_cpu, full_matrices=False)
The text was updated successfully, but these errors were encountered:
The dataset setting is 10 clients, 0.1a, noniid, imbalance,
The training setting is 0.005lr, 64 batch size, 100 training round, 10 local epoch, CNN model
I used FedKD to train on TinyImagenet dataset. Sometimes this bug (LinAlgError: SVD did not converge) will come out from this line: u, sigma, v = np.linalg.svd(param_cpu, full_matrices=False)
The text was updated successfully, but these errors were encountered: