Alina Devkota

According to our database, Alina Devkota authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning.

Alina Devkota, Jacob Thrasher, Donald Adjeroh, Binod Bhattarai, Prashnna K. Gyawali

CoRR, February, 2026

2025

Local K-Similarity Constraint for Federated Learning with Label Noise.

Sanskar Amgain, Prashant Shrestha, Bidur Khanal, Alina Devkota, Yash Raj Shrestha, Seungryul Baek, Prashnna K. Gyawali, Binod Bhattarai

CoRR, November, 2025

Federated Foundation Model for GI Endoscopy Images.

Alina Devkota, Annahita Amireskandari, Joel Palko, Shyam Thakkar, Donald Adjeroh, Xiajun Jiang, Binod Bhattarai, Prashnna K. Gyawali

CoRR, May, 2025

2024

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis.

Jacob Thrasher, Alina Devkota, Ahmed Tafti, Binod Bhattarai, Prashnna K. Gyawali

CoRR, 2024

TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis.

Jacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna K. Gyawali

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Multimodal Federated Learning in Healthcare: a review.

Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai, Rohit Chivukula, Pranav Poudel, Chaunbo Hu, Binod Bhattarai, Prashnna K. Gyawali

CoRR, 2023