Gradient inversion-based inference attack against federated learning

Federated learning is a state-of-the-art paradigm where deep learning models based on servers can be trained without having direct access to private training data. In federated learning, clients transfer gradients to the server, which can be used to further improve the model. However, the gradients...

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Bibliographic Details
Main Author: Chan, Joel Yuan Wei
Other Authors: Chang Chip Hong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/172760
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Institution: Nanyang Technological University
Language: English