Sanskar Amgain

Research Assistant, NAAMII

prof_pic.jpg
Find my CV here.

Hello there, I’m an computer engineering graduate from Pulchowk Campus, Institute of Engineering, Nepal. I currenty work at NAAMII under the supervision of Dr. Binod Bhattarai. My research interests lie at the intersection of data privacy, robustness, and machine learning, with a particular focus on federated learning, self-supervised pre-training for limited data and the security of machine learning models against adversarial attacks. Lately, I have been exploring client selection to improve convergence of semi-asynchronous federated learning.

Research Interests: Federated Learing, Robust Machine Learning, Self-supervised Learning, Distributed Optimization


Selected Publications

  1. IPCAI
    Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity
    Sanskar Amgain, Prashant Shrestha, Sophia Bano, and 5 more authors
    In , 2024
    Accepted at IPCAI
  2. EMBC
    Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification
    Bidur Khanal, Prashant Shrestha*, Sanskar Amgain*, and 3 more authors
    In , 2024
    Accepted at EMBC 2024
  3. MICCAI
    CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities
    Pranav Poudel, Prashant Shrestha*, Sanskar Amgain*, and 3 more authors
    In , 2024
    Accepted at MICCAI24