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FedMONN: Meta Operation Neural Network for Secure Federated Aggregation
- Source :
- HPCC/DSS/SmartCity
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Federated learning enables collaborative machine learning among multiple independent participants while preserving data privacy of each participant through model aggregation during training. However, model aggregation still faces potential risks that are associated with indirect leakage, such as parameters. In this paper, we first propose an algorithm called Meta Operation Neural Network (MONN) to perform basic arithmetic operations on encrypted data and generate operation results in a plaintext way. MONN is actually a general neural network composed of an encoder and a meta operation decoder, where both the encryption and meta decryption are lossless. MONN can be applied to federated learning for secure model aggregation. In this way, data privacy can be well preserved not only from malicious attackers but also untrustworthy servers. Experimental results reveal the following three key properties: 1) The proposed MONN based federated aggregation method (denoted as FedMONN) can reach satisfactory performance comparable with non-federated counterparts; 2) FedMONN is more secure than the classic federated averaging and one-time pad aggregation, even the server is not a trustable third party; 3) FedMONN is much efficient than the federated aggregation based on the Paillier homomorphic encryption technique.
- Subjects :
- 021110 strategic, defence & security studies
Information privacy
Artificial neural network
Computer science
business.industry
Distributed computing
0211 other engineering and technologies
Homomorphic encryption
020206 networking & telecommunications
Plaintext
02 engineering and technology
Encryption
Server
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
business
Encoder
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
- Accession number :
- edsair.doi...........a8d118599d0940364e1ab9a08a120a83