Bitfount-Supported Algorithms

Algorithms dictate what type of task a Data Scientist is looking to execute. Bitfount requires specification of these algorithms to ensure a Data Scientist has the appropriate authorisation to execute them.

Bitfount currently supports the following algorithms, which are described in more technical detail in the API Reference:

Algorithm	Description
Federated Training	Algorithm for training a model remotely and returning its updated parameters.
Evaluate	Algorithm for evaluating a model and returning metrics.
Train and Evaluate	Algorithm for training a model, evaluating it, and returning metrics.
ColumnAverage	Simple algorithm for taking the arithmetic mean of a column in a table.
SQL Query	Simple algorithm for running a SQL query on a table.
Private SQL Query	Enables the user to run a private SQL query using differential privacy by specifying epsilon and delta.
Compute Intersection RSA	Enables the user to compute the overlap between two datasets on encrypted data and return the result.

Don’t see an algorithm that works for you? Submit your suggestion or provide feedback to us.