Essays about: "konfidentiellt maskininlärning"

Found 2 essays containing the words konfidentiellt maskininlärning.

1. 1. Confidential Federated Learning with Homomorphic Encryption

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Zekun Wang; [2023]
   Keywords : Cloud Technology; Confidential Computing; Federated Learning; Homomorphic Encryption; Trusted Execution Environment; Molnteknik; Konfidentiell databehandling; Federerad inlärning; Homomorfisk kryptering; Betrodd körningsmiljö;

   Abstract : Federated Learning (FL), one variant of Machine Learning (ML) technology, has emerged as a prevalent method for multiple parties to collaboratively train ML models in a distributed manner with the help of a central server normally supplied by a Cloud Service Provider (CSP). Nevertheless, many existing vulnerabilities pose a threat to the advantages of FL and cause potential risks to data security and privacy, such as data leakage, misuse of the central server, or the threat of eavesdroppers illicitly seeking sensitive information. READ MORE

3. 2. Confidential Computing in Public Clouds : Confidential Data Translations in hardware-based TEEs: Intel SGX with Occlum support

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Sri Yulianti; [2021]
   Keywords : TEEs; Intel SGX; Library OS; Occlum; Confidential Computing; Confidential Machine Learning; TEEs; Intel SGX; Library OS; Occlum; Konfidentiell databehandling; konfidentiellt maskininlärning;

   Abstract : As enterprises migrate their data to cloud infrastructure, they increasingly need a flexible, scalable, and secure marketplace for collaborative data creation, analysis, and exchange among enterprises. Security is a prominent research challenge in this context, with a specific question on how two mutually distrusting data owners can share their data. READ MORE