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)
'yrbirth': "< 1931"
},
"field": "yrbirth"
}
}
leap_predef.selector = selector
return leap_predef
def predef_mean_selector_sql():
leap_predef = leap_fn.PredefinedFunction(
computation_msgs_pb2.AlgoCodes.MEAN_ALGO)
selector = {
"type": codes.DEFAULT,
"filter": "[pain_past3backpain] = 1 and [yrbirth] < 1960"
}
leap_predef.selector = selector
return leap_predef
def distributed(sites, auth_token):
leap_fn = predef_mean_selector_sql()
dist_leap = leap.DistributedLeap(leap_fn, "127.0.0.1:50000", auth_token)
print(dist_leap.get_result(sites))
if __name__ == "__main__":
#user_reg.register_user("TestUser2", "1234561", "127.0.0.1:50000")
auth_res = user_reg.authenticate_user("TestUser", "123456",
"127.0.0.1:50000")
distributed([1], auth_res.token)