Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud. (arXiv:2308.00963v1 [cs.CR])

With the popularity of cloud computing and machine learning, it has been a
trend to outsource machine learning processes (including model training and
model-based inference) to cloud. By the outsourcing, other than utilizing the
extensive and scalable resource offered by the cloud service provider, it will
also be attractive to users if the cloud servers can manage the machine
learning processes autonomously on behalf of the users. Such a feature will be
especially salient when the machine learning is expected …

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