BriefGPT.xyz
Aug, 2021
个性化掩码保障的实用安全联邦推荐
Practical and Secure Federated Recommendation with Personalized Masks
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Liu Yang, Ben Tan, Bo Liu, Vincent W. Zheng, Kai Chen...
TL;DR
本文提出了一种名为FedMMF的新型联邦推荐方法,通过使用来自本地数据的个性化掩码来保护数据隐私,同时不降低效率和准确性,实现了推荐系统中隐私保护和个性化要求的同时满足。
Abstract
federated recommendation
is a new notion of private distributed
recommender systems
. It aims to address the data silo and privacy problems altogether. Current federated
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