A privacy preserving federated learning solution

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ctable

This algoithm is part of the vantage6 solution. Vantage6 allowes to execute computations on federated datasets.

Usage

from vantage6.client import Client

# Authenticate to the server
client = Client("http://127.0.0.1", 5000, "/api")
client.authenticate("frank@iknl.nl", "password")
client.setup_encryption(None)

# algorithm input
input_ = {
    "master": True,
    "method": "simple_master", # or "round_robin_master"
    "args": [["Sex"], ["Age"]]
}

# Create task for the server
task = client.post_task(
    "testing task",
    "harbor.vantage6.ai/algorithms/ctable",
    collaboration_id=2,
    input_=input_,
    organization_ids=[1]
)

# obtain the results
client.get_results(task_id=task.get("id"))

Read more

See the documentation for detailed instructions on how to install and use the server and nodes.

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vantage6