most citedFedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning

2 citations · 2 across the 3 of their papers we have counts for

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cs.CR2024

FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation

Hanlin Gu, Jiahuan Luo, Yan Kang +5

Federated learning (FL) has emerged as a collaborative approach that allows multiple clients to jointly learn a machine learning model without sharing their private data. The conce…