Seminar ETIS-ICI: Rodrigo C. de Lamare

Rodrigo C. de Lamare, from PUC-RIO, will give an invited talk on Monday, March 3rd, 2025, 11:00 am, ENSEA, room 384. Please find below the details.

Zoom : https://cnrs.zoom.us/j/94161301799?pwd=bTgHYnHGmIqeG3BHPyJEM429aXzVSy.1

Title: Energy-efficient distributed and federated learning for IoT networks

Abstract:

In this presentation, we will present an energy-efficient distributed learning framework using coarsely quantized signals for Internet of Things (IoT) networks. In particular, we develop distributed quantization-aware least-mean, recursive least-squares and federated learning algorithms that can learn parameters in an energy-efficient fashion using signals quantized with few bits while requiring a low computational cost. Moreover, we develop a bias compensation strategy to further improve the performance of the proposed learning algorithms. We carry out a statistical analysis of the proposed algorithms and derive analytical expressions for predicting the mean-square deviation. A computational complexity evaluation and a study of the power consumption of the proposed and existing techniques are then presented. Numerical results assess the proposed learning algorithms against existing techniques for parameter estimation tasks in IoT networks.

Biography:

Rodrigo C. de Lamare was born in Rio de Janeiro, Brazil, in 1975. He received his Diploma in electronic engineering from the Federal University of Rio de Janeiro in 1998 and the MSc and PhD degrees in electrical engineering from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio) in 2001 and 2004, respectively. Since January 2006, he has been with the Communications Research Group, Department of Electronic Engineering, University of York, United Kingdom, where he is a Professor. Since April 2013, he has also been a Professor at PUC-RIO. Dr de Lamare is a senior member of the IEEE. He has served as editor for IEEE Wireless Communications Letters, IEEE Signal Processing Letters and IEEE Transactions on Communications and currently serves as associate editor of IEEE Transactions on Signal Processing. His research interests lie in communications and signal processing, areas in which he has published over 550 papers in international journals and conferences.