November 2022: Our journal paper "Federated Learning Using Three-Operator ADMM" has been accepted to the IEEE Journal of Selected Topics in Signal Processing - Special Issue on Distributed Signal Processing for Edge Learning in B5G IoT Networks
March 2022: I received the prestigious Marie Skłodowska-Curie Fellowship, in support of my postdoctoral research at Princeton University, USA, and KTH Royal Institute of Technology, Sweden, between 2022-2025
He received the Ph.D. degree in Electrical Engineering and Computer Science from KTH Royal Institute of Technology, Stockholm, Sweden, in April 2019 under the supervision of Carlo Fischione and Gábor Fodor. He received the BSc (with honors) and MSc degree in Telecommunications Engineering from the Federal University of Ceará, Fortaleza, Brazil, in 2012 and 2014, respectively. He worked as a research engineer at the Wireless Telecommunication Research Group (GTEL) in Fortaleza from July 2012 to March 2015. During the autumn/winter of 2013-2014, he worked in an internship at Ericsson Research in Stockholm, Sweden. During the Spring/Fall 2018, he was a visiting researcher at Rice University in Houston, Texas, USA. He was a Postdoctoral Researcher with the KTH Royal Institute of Technology from April 2019 to April 2022. During the Spring 2022, he was a Visiting Researcher Fellow with Princeton University, USA.
Research
My current research interests include
Federated learning
Communication efficiency for distributed learning
Vehicular communications
Full-duplex communications
Millimeter-wave communications
(Non)Convex optimization
Selected publications
H. Hellström, José Mairton B. da Silva Jr., M. M. Amiri, M. Chen, V. Fodor, H. V. Poor and C. Fischione, "Wireless for Machine Learning: A Survey", NOW Foundations and Trends in Signal Processing, vol. 15, no. 4, pp 290-399, June 2022.
José Mairton B. da Silva Jr., C. Skouroumounis, I. Krikidis, G. Fodor, C. Fischione “Energy Efficient
Full-Duplex Networks”. In: H. Suraweera, J. Yang, A. Zappone, and J. S. Thompson. "Green Communications for
Energy-Efficient Wireless Systems and Networks". The Institution of Engineering and Technology (IET),
Nov. 2020.