sites = np.arange(args.num_sites)
hyperparams = {
"lr": 1e-4,
"d_x": 28, # input dimension
"d_y": 2, # output dimension
"batch_size": 16,
"max_iters": 25,
"iters_per_epoch": 10,
"train_ids": train_ids,
"val_ids": val_ids,
"num_sites": len(sites)
}
leap_fed_learn.hyperparams = hyperparams
fd = open("../certs/myCA.crt", "rb")
root_cert = fd.read()
fd = open("../certs/cloudalgo.key", "rb")
priv_key = fd.read()
fd = open("../certs/cloudalgo.crt", "rb")
cert_chain = fd.read()
#user_reg.register_user("TestUser", "123456", "10.0.0.6:50000", True, priv_key, cert_chain, root_cert, "Coord")
auth_res = user_reg.authenticate_user("TestUser", "123456",
"10.0.0.6:50000", True, priv_key,
cert_chain, root_cert, "Coord")
leap = leap.DistributedLeap(leap_fed_learn, "10.0.0.6:50000",
auth_res.token, True, root_cert, priv_key,
cert_chain)
result = leap.get_result(sites)
print(result)
import sys
sys.path.append("../")
import api.leap as leap
import api.leap_fn as leap_fn
from proto import computation_msgs_pb2
if __name__ == "__main__":
leap_predef = leap_fn.PrivatePredefinedFunction(
computation_msgs_pb2.AlgoCodes.PRIVATE_SITE_COUNT_ALGO,
epsilon=1,
delta=0)
selector = "[age] > 50 and [bmi] < 25"
leap_predef.selector = selector
leap = leap.DistributedLeap(leap_predef)
result = leap.get_result()
print(result)