Eduardo Cerqueira

Also published under:E. Cerqueira, Eduardo C. Cerqueira, Eduardo Coelho Cerqueira

Affiliation

Institute of Technology - Federal University of ParĂ¡

Topic

Federated Learning,Edge Server,Convolutional Neural Network,Global Model,Communication Rounds,Computational Resources,Base Station,Edge Computing,Internet Of Things,Machine Learning Models,Mobile Edge Computing,Service Quality,Unmanned Aerial Vehicles,Central Server,Federated Learning Model,Learning Models,Network Resources,Resource Allocation,Accuracy Of Model,Client Data,Communication Cost,Efficient Communication,Energy Consumption,Local Data,Local Dataset,Mobile Users,Mobility Prediction,Model Aggregation,Model Performance,Multilayer Perceptron,Neural Network,Performance Metrics,Quality Of Experience,Resource Utilization,Train Machine Learning Models,Training Round,5G Networks,Acceptance Ratio,Allocation Mechanism,Analytic Hierarchy Process,Autoregressive Integrated Moving Average,CPU Utilization,Cloud Computing,Cluster Model,Communication Overhead,Communication Range,Data Distribution,Data Packets,Distributed Edge,Dynamic Adjustment,

Biography

Eduardo Cerqueira received the Ph.D. degree in informatics engineering from the University of Coimbra, Portugal, in 2008. He is currently an Associate Professor with the Faculty of Computer Engineering, Federal University of Para (UFPA), Brazil, and an Invited Researcher with the Network Research Laboratory, UCLA, USA, and the Centre for Informatics and Systems, University of Coimbra, Portugal. His publications include five edited books, five book chapters, four patents, and over than 180 articles in national/international refereed journals/conferences. His research interests include multimedia, future Internet, quality of experience, and mobility and ubiquitous computing. He has been serving as a guest editor for six special issues of various peer-reviewed scholarly journals.