PrivacyFL
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A Simulator for Privacy Preserving Federated Learning
in client_agent_serverless.py there are two unnecessary print in final_statistics function def final_statistics(self): print("PERSONAL ACCURACY IS {}".format(self.personal_accuracy)) print(self.personal_accuracy) print("FEDERATED ACCURACY IS {}".format(self.federated_accuracy)) print(self.federated_accuracy) ------------------------------------------------- in initializer_serverless.py (line 68) the function data_formatting.partition_data(...)...
I think there might be a bug in this [line](https://github.com/vaikkunth/PrivacyFL/blob/7f66084fe0bec114065370e1257566f1988cbf64/src/client_agent.py#L143). According to the comments in `config.py`, when `USING_CUMULATIVE` is `True` the call should be to `self.compute_weights_cumulative`.
# My Condition After installing `conda`. When I follow the README's instruction `conda env create -f environment.yml -n EnvName`, my shell print the following message: ```shell Collecting package metadata (repodata.json):...
Ran into this issue while running `run_similation.py` ```py py run_simulation.py ``` ``` STARTING SIMULATION /home/purge/.local/lib/python3.10/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the...