Issues

A systematic literature review of authorization and access control requirements and current state of the art for different database models

A review of in-memory computing for machine learning: architectures, options

ImageNet classification with Raspberry Pis: federated learning algorithms of local classifiers

DoS attack detection using Aquila deer hunting optimization enabled deep belief network

FedACQ: adaptive clustering quantization of model parameters in federated learning