Zobrazeno 1 - 10
of 90
pro vyhledávání: '"ESTERLE, LUKAS"'
Countless terms of service (ToS) are being signed everyday by users all over the world while interacting with all kinds of apps and websites. More often than not, these online contracts spanning double-digit pages are signed blindly by users who simp
Externí odkaz:
http://arxiv.org/abs/2409.00077
In recent advancements in machine learning, federated learning allows a network of distributed clients to collaboratively develop a global model without needing to share their local data. This technique aims to safeguard privacy, countering the vulne
Externí odkaz:
http://arxiv.org/abs/2407.12410
Digital Twins represent a new and disruptive technology, where digital replicas of (cyber)-physical systems operate for long periods of time alongside their (cyber)-physical counterparts, with enabled bi-directional communication between them. Howeve
Externí odkaz:
http://arxiv.org/abs/2304.07328
Federated Learning offers a way to train deep neural networks in a distributed fashion. While this addresses limitations related to distributed data, it incurs a communication overhead as the model parameters or gradients need to be exchanged regular
Externí odkaz:
http://arxiv.org/abs/2302.02949
Images and video frames captured by cameras placed throughout smart cities are often transmitted over the network to a server to be processed by deep neural networks for various tasks. Transmission of raw images, i.e., without any form of compression
Externí odkaz:
http://arxiv.org/abs/2207.10155
In this paper we present an experience report for the RMQFMU, a plug and play tool, that enables feeding data to/from an FMI2-based co-simulation environment based on the AMQP protocol. Bridging the co-simulation to an external environment allows on
Externí odkaz:
http://arxiv.org/abs/2107.01010
Autor:
Frasheri, Mirgita, Ejersbo, Henrik, Thule, Casper, Gomes, Cláudio, Kvistgaard, Jakob Levisen, Larsen, Peter Gorm, Esterle, Lukas
Publikováno v:
In Robotics and Autonomous Systems March 2023 161
We introduce the concept of a V-formation game between a controller and an attacker, where controller's goal is to maneuver the plant (a simple model of flocking dynamics) into a V-formation, and the goal of the attacker is to prevent the controller
Externí odkaz:
http://arxiv.org/abs/1702.00290
Autor:
Lukina, Anna, Esterle, Lukas, Hirsch, Christian, Bartocci, Ezio, Yang, Junxing, Tiwari, Ashish, Smolka, Scott A., Grosu, Radu
We introduce ARES, an efficient approximation algorithm for generating optimal plans (action sequences) that take an initial state of a Markov Decision Process (MDP) to a state whose cost is below a specified (convergence) threshold. ARES uses Partic
Externí odkaz:
http://arxiv.org/abs/1612.07059
Autor:
Bellman, Kirstie, Botev, Jean, Diaconescu, Ada, Esterle, Lukas, Gruhl, Christian, Landauer, Christopher, Lewis, Peter R., Nelson, Phyllis R., Pournaras, Evangelos, Stein, Anthony, Tomforde, Sven
Publikováno v:
In Future Generation Computer Systems April 2021 117:29-46