Can federated learning solve AI’s data privacy problem?: A legal analysis

Federated learning (FL) is a method of training AI systems on different datasets without sharing data. The promise of FL is to enable AI systems to be trained on data, including personal data, while preserving data privacy and confidentiality, and thus, inter alia, facilitate compliance with data pr...

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Bibliographic Details
Main Authors: CHIK, Warren B., GAMPER, Florian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
AI
Online Access:https://ink.library.smu.edu.sg/sol_research/4517
https://ink.library.smu.edu.sg/context/sol_research/article/6475/viewcontent/Federated_Learning_A_legal_analysis.pdf
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Institution: Singapore Management University
Language: English
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