Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated
Learning

Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning

17 February 2023

Prakash Chourasia

Sarwan Ali

Imdadullah Khan

Murray Patterson

Papers citing "Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning"

5 / 5 papers shown

Title
Federated learning, ethics, and the double black box problem in medical AI Joshua Hatherley Anders Søgaard Angela Ballantyne Ruben Pauwels FedML 58 0 0 29 Apr 2025
Virus2Vec: Viral Sequence Classification Using Machine Learning Sarwan Ali B. Bello Prakash Chourasia Ria Thazhe Punathil Pin-Yu Chen Imdadullah Khan Murray Patterson 37 2 0 24 Apr 2023
ViralVectors: Compact and Scalable Alignment-free Virome Feature Generation Sarwan Ali Prakash Chourasia Z. Tayebi B. Bello Murray Patterson 32 6 0 06 Apr 2023
Efficient Approximate Kernel Based Spike Sequence Classification Sarwan Ali Bikram Sahoo Muhammad Asad Khan A. Zelikovsky Imdadullah Khan Murray Patterson AI4TS 33 22 0 11 Sep 2022
A k-mer Based Approach for SARS-CoV-2 Variant Identification Sarwan Ali Bikram Sahoo N. Ullah Alexander Zelikovskiy M. Patterson Imdadullah Khan 67 39 0 07 Aug 2021