Abstract: A method of data transmission is provided. The method includes: generating an encryption public key and an evaluation public key by interacting with other data providing ends; generating ciphertext data by encrypting local data with the encryption public key, and sending the ciphertext data to a data using end; receiving a ciphertext calculation result sent by the data using end, in which the ciphertext calculation result is determined by the data using end based on the evaluation public key and the ciphertext data received; and acquiring plaintext data by decrypting the ciphertext calculation result with a private key fragment of the data providing end.

Abstract: A method for processing multi-source data includes: generating a private key fragment of the data providing node, as well as an encryption public key and an evaluation public key, in which, other participating nodes include other data providing nodes and a data using node; generating ciphertext data by encrypting local sample data with the encryption public key, and sending the ciphertext data to a coordination node for training a machine learning model; receiving ciphertext model parameters corresponding to model parameters of the machine learning model trained by the coordination node, in which, the ciphertext model parameters are determined by the coordination node based on the evaluation public key and the ciphertext data received; and decrypting the ciphertext model parameters with the private key fragment, and sending a decrypted model parameter fragment to the data using node

Abstract: A reconfigurable heat transfer system for a turbine inlet for a gas turbine engine is disclosed. The reconfigurable heat transfer system includes reconfigurable heat transfer components may be moved between a first position and a second position, wherein the second position allows a portion of or all of the air in the inlet to bypass the heat transfer components.