280 citations · 2.6k across the 261 of their papers we have counts for
23 papers · 1 filter
Optimal Privacy-Aware Dynamic Estimation
Chuanghong Weng, Ehsan Nekouei, Karl H. Johansson
In this paper, we develop an information-theoretic framework for the optimal privacy-aware estimation of the states of a (linear or nonlinear) system. In our setup, a private proce…
Online Distributed Learning with Quantized Finite-Time Coordination
Nicola Bastianello, Apostolos I. Rikos, Karl H. Johansson
In this paper we consider online distributed learning problems. Online distributed learning refers to the process of training learning models on distributed data sources. In our se…
Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes
August Söderlund, Frank J. Jiang, Vandana Narri +2
In this paper, we present a data-driven approach for safely predicting the future state sets of pedestrians. Previous approaches to predicting the future state sets of pedestrians…
Large-Scale Multi-Fleet Platoon Coordination: A Dynamic Programming Approach
Ting Bai, Alexander Johansson, Karl Henrik Johansson +1
Truck platooning is a promising technology that enables trucks to travel in formations with small inter-vehicle distances for improved aerodynamics and fuel economy. The real-world…
What influences occupants' behavior in residential buildings: An experimental study on window operation in the KTH Live-In Lab
Mahsa Farjadnia, Angela Fontan, Alessio Russo +2
Window-opening and window-closing behaviors play an important role in indoor environmental conditions and therefore have an impact on building energy efficiency. On the other hand,…
Asymmetric Feedback Learning in Online Convex Games
Zifan Wang, Xinlei Yi, Yi Shen +2
This paper considers convex games involving multiple agents that aim to minimize their own cost functions using locally available information. A common assumption in the study of s…