TNO MPC Lab
The TNO MPC lab consists of generic software components, procedures, and functionalities developed and maintained on a regular basis to facilitate and aid in the development of MPC solutions. The lab is a cross-project initiative allowing us to integrate and reuse previously developed MPC functionalities to boost the development of new protocols and solutions.
The package tno.mpc.protocols.kaplan_meier v0.1.1 is part of the TNO Python Toolbox.
tno.mpc.protocols.kaplan_meier’s documentation
Contents:
- kaplan_meier package- kaplan_meier.data_owner module- Alice- Alice.__init__()
- Alice.cols_in_hidden_table
- Alice.compute_factors()
- Alice.compute_hidden_table()
- Alice.generate_share()
- Alice.groups
- Alice.hidden_table
- Alice.mask_hidden_table()
- Alice.plain_table
- Alice.re_randomise_ht()
- Alice.re_randomize()
- Alice.receive_encrypted_group_data()
- Alice.receive_number_of_groups()
- Alice.receive_paillier_scheme()
- Alice.rows_in_hidden_table
- Alice.send_share()
- Alice.signed_randomness()
- Alice.start_protocol()
- Alice.start_randomness_generation()
 
- Bob
- DataOwner
 
- kaplan_meier.helper module
- kaplan_meier.player module- MPCProtocolMetadata
- Player- Player.__init__()
- Player.data_parties
- Player.helper
- Player.identifier
- Player.obtain_secret_sharing_additively_shared_database()
- Player.obtain_secret_sharing_factors()
- Player.obtain_secret_sharings()
- Player.party_A
- Player.party_B
- Player.run_mpyc()
- Player.secure_multivariate_log_rank_test()
- Player.share
- Player.start_protocol()
 
 
 
- kaplan_meier.data_owner module