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Workshop on Trustworthy AI

As partner in the Horizon Europe Ultimate project (https://ultimate-project.eu/) my group at KTH is co-organizing an online workshop on Trustworhy AI, on February 2 at 9:30-13:30. We have an interesting lineup of speakers with diverse backgrounds, and we will hold a panel with all of them.

Registration is currently open at https://evenium-site.com/site/ULTIMATE-Workshop-Trustworthy-AI.

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DF Young Scientist Conference

I’m proud to be general co-chair for the upcoming Digital Futures Young Scientist Conference, which will be held February 22-23, 2024 at Digital Futures. Abstract submissions are now open!

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New pre-prints

I’m happy to announce three new pre-prints:

  • U. Casti, N. Bastianello, R. Carli, S. Zampieri. “A Control Theoretical Approach to Online Constrained Optimization.” arXiv
  • G. Carnevale, N. Bastianello, G. Notarstefano, R. Carli. “ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks.” arXiv
  • N. Bastianello*, D. Deplano*, M. Franceschelli, K. H. Johansson. “Online Distributed Learning over Random Networks.” [* equal contribution] arXiv

I’m grateful to all my collaborators on these papers.

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Lund Focus Period (ELLIIT)

I am honored to have been invited as a visiting scholar to the ELLIIT (Excellence Center at Linköping – Lund in Information Technology) focus period “6G – forming a better future” that will be held at Lund University in October and November.

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ECC’24 associate editor

It is my great pleasure to announce that I have been asked to serve as associate editor of the upcoming European Control Conference 2024 (ECC’24).

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IEEE TAC paper accepted

I’m happy to report that our paper has been accepted for publication in IEEE TAC:

N. Bastianello, R. Carli, S. Zampieri. “Internal Model-Based Online Optimization.” IEEE Trans. Automatic Control, to appear arXiv

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Automatica outstanding reviewer

I have received a commendation letter as an outstanding reviewer for the journal Automatica for the year 2023.

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3 papers accepted for CDC’23

I am co-author of three papers that have been accepted for presentation at CDC’23:

  • N. Bastianello, A. I. Rikos, K. H. Johansson. “Online Distributed Learning with Quantized Finite-Time Coordination.” 2023 IEEE Conference on Decision and Control (CDC’23)
  • D. Deplano, N. Bastianello, M. Franceschelli, K. H. Johansson. “A unified approach to solve the dynamic consensus on the average, maximum, and median values with linear convergence.” 2023 IEEE Conference on Decision and Control (CDC’23)
  • G. Carnevale, N. Bastianello, R. Carli, G. Notarstefano. “Distributed Consensus Optimization via ADMM-Tracking Gradient.” 2023 IEEE Conference on Decision and Control (CDC’23)
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Talk at UniPD

I have been invited to give a talk on May 12, 2023 at the workshop “From behaviors and codes to intelligent network systems”, held at the University of Padova in honor of Prof. Sandro Zampieri’s 60th birthday.

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EECI graduate school

On 13-17/02/2023 I will be teaching a graduate course for EECI alongside Prof. Ruggero Carli and Prof. Luca Schenato. The course is titled “Multi-Agent Optimization and Learning: Resilient and Adaptive Solutions” and will provide an in-depth look at distributed optimization and learning algorithms, with particular focus on challenging scenarios (communication failures, asynchrony, …). The flyer for the course can be read here and more information on registration is available here.