Differential Privacy-Enabled Multi-Party Learning with Dynamic Privacy Budget Allocating Strategy

As one of the promising paradigms of decentralized machine learning, multi-party learning has attracted increasing attention, owing to its capability of preventing the privacy of participants from being directly exposed to adversaries. Multi-party learning enables participants to train their model l...

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Bibliographic Details
Main Authors: Ke Pan, Kaiyuan Feng
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/3/658