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After developing your circuit, you may want to deploy it. However, sharing the details of your circuit with every client might not be desirable. Further, you might want to perform the computation in dedicated servers. In this case, you can use the
Serverfeatures of Concrete-Numpy.
You can develop your circuit like we've discussed in the previous chapters. Here is a simple example:
import concrete.numpy as cnp
return x + 42
inputset = range(10)
circuit = function.compile(inputset)
Once you have your circuit, you can save everything the server needs like so:
All you need to do now is to send
server.zipto your computation server.
You can load the
server.zipyou get from the development machine as follows:
import concrete.numpy as cnp
server = cnp.Server.load("server.zip")
At this point, you will need to wait for requests from clients. The first likely request is for
ClientSpecsto generate keys and request computation. You can serialize
serialized_client_specs: str = server.client_specs.serialize()
Then, you can send it to the clients requesting it.
After getting the serialized
ClientSpecsfrom a server, you can create the client object like this:
client_specs = cnp.ClientSpecs.unserialize(serialized_client_specs)
client = cnp.Client(client_specs)
Once you have the
Clientobject, you can perform key generation:
This method generates encryption/decryption keys and evaluation keys.
The server requires evaluation keys linked to the encryption keys that you just generated. You can serialize your evaluation keys as shown below:
serialized_evaluation_keys: bytes = client.evaluation_keys.serialize()
After serialization, you can send the evaluation keys to the server.
Serialized evaluation keys are very big in size, so you may want to cache them on the server instead of sending them with each request.
You are now ready to encrypt your inputs and request the server to perform the computation. You can do it like so:
serialized_args: bytes = client.encrypt(7).serialize()
The only thing left to do is to send serialized args to the server.
Upon having the serialized evaluation keys and serialized arguments, you can unserialize them like so:
unserialized_evaluation_keys = cnp.EvaluationKeys.unserialize(serialized_evaluation_keys)
unserialized_args = server.client_specs.unserialize_public_args(serialized_args)
And you can perform the computation as well:
public_result = server.run(unserialized_args, unserialized_evaluation_keys)
serialized_public_result: bytes = public_result.serialize()
Finally, you can send the serialized public result back to the client, so they can decrypt it and get the result of the computation.
Once you have received the public result of the computation from the server, you can unserialize it:
unserialized_public_result = client.specs.unserialize_public_result(serialized_public_result)
Finally, you can decrypt the result like so:
result = client.decrypt(unserialized_public_result)
assert result == 49