most citedA New Federated Learning Framework Against Gradient Inversion Attacks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024

Efficient MedSAMs: Segment Anything in Medical Images on Laptop

Jun Ma, Feifei Li, Sumin Kim +79

Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive co…

cs.LG2024★ 1 cited

A New Federated Learning Framework Against Gradient Inversion Attacks

Pengxin Guo, Shuang Zeng, Wenhao Chen +4

Federated Learning (FL) aims to protect data privacy by enabling clients to collectively train machine learning models without sharing their raw data. However, recent studies demon…