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20222026
most citedUnified Multi-modal Diagnostic Framework with Reconstruction Pre-training and Heterogeneity-combat Tuning

4 citations · 4 across the 4 of their papers we have counts for

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cs.CV2025

FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning

Meilu Zhu, Qiushi Yang, Zhifan Gao +2

Federated learning (FL) has shown great potential in medical image computing since it provides a decentralized learning paradigm that allows multiple clients to train a model colla…