Abstract

Federated Learning (FL) has emerged as a key paradigm for enabling collaborative and privacy-preserving machine learning across distributed data sources. At the Hub of Artificial Intelligence and Cognitive Architectures (H.IAAC), University of Campinas (UNICAMP), several research initiatives have been conducted to advance the development and application of FL. In this talk, we will present an overview of the main research developed at H.IAAC. We will also discuss ongoing and future research directions and highlight collaboration opportunities.

Bio: Luiz Bittencourt is an Associate Professor at Universidade Estadual de Campinas (UNICAMP), Brazil. Luiz was awarded with the IEEE ComSoc Latin America Young Professional Award in 2013. He acts on the organization of several conferences in the cloud and edge computing topics, and in several technical program committees. He served as associate editor for the IEEE Cloud Computing Magazine, and currently serves as AE for the Computers and Electrical Engineering and the Internet of Things journals, for the Journal of Network and Systems Management, for the IEEE Networking Letters and for the IEEE Transactions on Services Computing. His main interests are in resource management and scheduling in cloud, edge and fog computing, and their synergy towards an intelligent computing continuum through distributed machine learning techniques.

Allan M. de Souza is an Assistant Professor at Universidade Estadual de Campinas (UNICAMP), Brazil, and Researcher at the Hub of Artificial Intelligence and Cognitive Architectures (H.IAAC). He earned his Ph.D. in Computer Science from UNICAMP and the University of Bern, Switzerland. His research interests include Federated Learning and Intelligent Distributed Systems.