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Featurecloud implementation of logistic regression
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jklemm235/fc-private-logistic-regression
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# WIP of DP and SMPC including logistic regression Usage right now: the folder data must include: config.yaml test_set.csv trainig_set.csv Then 1. featurecloud controller start must be called while within the fc-private-logistic-regression folder 2. configuration of tests can be done in config.yaml 3. bash app_build_start.sh must be called to run a test, here under --client-dirs a comma seperated list can be given if more than one client should be simulated, client folders should be put into data, e.g. data/client_1, data/client_2 and in the command: --client-dirs ./client_1,./client_2 4. Results: for each client in data/tests/output/result_test_[testID]_client_[clientNumber][...].zip: model_[clienID]_[local_computation_run].pyc for the coordinator under data/tests/output/result_test_[testID]_client_0_[...].zip: config.yaml, additionally contains numClients value aggmodel_[cur_communication_round].pyc model_[clienID]_[local_computation_run].pyc (since the coordinator is a client as well)
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