Reza Nourmohammadi

Federated Learning,Federated Learning Framework,Global Model,Marginal Cost,Network Delay,Smart Contracts,Accuracy Scores,Block Size,Blockchain Technology,Breast Cancer,Central Server,Convolutional Neural Network,Data Privacy,Internet Of Things,Local Training,Machine Learning,Malicious Nodes,Optimization Algorithm,Particle Swarm Optimization,Private Blockchain,Public Blockchain,Step Size,Sum Of Delay,Accuracy Of Model,Aggregate Level,Aggregation Algorithm,Aggregation Method,Application Requirements,Assembly Process,Average Cost,Batch Size,Bitcoin,Block Generation,Blockchain Applications,Blockchain Data,Blockchain Network,Chain Model,Changes In Workload,Client Data,Cloud Computing,Cloud Environment,Cloud Providers,Complex Models,Computational Cost,Computational Efficiency,Computational Resources,Consensus Mechanism,Consensus Protocol,Consortium Blockchain,Cost Efficiency,