Categories
news

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.

Categories
news

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

Categories
news

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)