Impact and comparison of standard-based, stochastic, and tracked user behaviour in open space offices: A Swiss case study

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Mixed Nash for Robust Federated Learning

Volkan Cevher, Thomas Michaelsen Pethick, Wanyun Xie

We study robust federated learning (FL) within a game theoretic framework to alleviate the server vulnerabilities to even an informed adversary who can tailor training-time attacks (Fang et al., 2020; Xie et al., 2020a; Ozfatura et al., 2022; Rodríguez-Bar ...

Journal of Machine Learning Research Inc.2024

From Master Equation to SPICE: A Platform to Model Cryo-CMOS Control for Qubits

Andrew James Wright Garcia, Edoardo Charbon, Vladimir Pesic

Cryogenic classical electronics for the control of qubits can be placed near quantum processors for a more compact system, ultimately enabling a highly scalable one. However, cryogenic operation poses very strict power requirements on electronics, in addit ...

IEEE2024

An Actuation Fault Tolerance Approach to Reconfiguration Planning of Modular Self-folding Robots

Jamie Paik

This paper presents a novel approach to fault tolerant reconfiguration of modular self-folding robots. Among various types of faults that probably occur in the modular system, we focus on the tolerance of complete actuation failure of active modules that m ...

IEEE2020

Fener: A Radiance-based modelling approach to assess the thermal and daylighting performance of complex fenestration systems in office spaces

Jan Wienold

A new Radiance-based modelling approach called Fener is presented. The motivation is to be able to perform detailed analyses of complex fenestration systems (CFS) from the energetic and daylighting points of view in a computationally efficient manner, so t ...

Elsevier2015