Showing cs.LGShow all
3 papers · 1 filter
cs.LG2024
The Promise of Analog Deep Learning: Recent Advances, Challenges and Opportunities
Aditya Datar, Pramit Saha
Much of the present-day Artificial Intelligence (AI) utilizes artificial neural networks, which are sophisticated computational models designed to recognize patterns and solve comp…
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.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…