most citedExamining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

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

collaborators

3 papers

cs.LG2024★ 2 cited

Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

Pramit Saha, Divyanshu Mishra, Felix Wagner +2

Multimodal Federated Learning (MMFL) utilizes multiple modalities in each client to build a more powerful Federated Learning (FL) model than its unimodal counterpart. However, the…

cs.CV2023

Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos

Divyanshu Mishra, He Zhao, Pramit Saha +2

Out-of-distribution (OOD) detection is essential to improve the reliability of machine learning models by detecting samples that do not belong to the training distribution. Detecti…

cs.LG2023

Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data

Pramit Saha, Divyanshu Mishra, J. Alison Noble

The most challenging, yet practical, setting of semi-supervised federated learning (SSFL) is where a few clients have fully labeled data whereas the other clients have fully unlabe…