Rahad, M., Shabab, R., Ahammad, M. S., Reza, M. M., Karmaker, A., & Hossain, M. A. KL-FedDis: A federated learning approach with distribution information sharing using Kullback-Leibler divergence for non-IID data. Elsevier.
Chicago Style (17th ed.) CitationRahad, Md, Ruhan Shabab, Mohd. Sultan Ahammad, Md. Mahfuz Reza, Amit Karmaker, and Md. Abir Hossain. KL-FedDis: A Federated Learning Approach with Distribution Information Sharing Using Kullback-Leibler Divergence for Non-IID Data. Elsevier.
MLA (9th ed.) CitationRahad, Md, et al. KL-FedDis: A Federated Learning Approach with Distribution Information Sharing Using Kullback-Leibler Divergence for Non-IID Data. Elsevier.
Warning: These citations may not always be 100% accurate.