This paper considers the problem of resilient distributed optimization and stochastic learning in a server-based architecture. The system comprises a server and multiple agents, where each agent has its own local cost function. The agents collaborate with ...
Electrochemical conversion of CO2 to fuels and valuable products is one pathway to reduce CO2 emissions. Electrolyzers using gas diffusion electrodes (GDEs) show much higher current densities than aqueous phase electrolyzers, yet models for multi-physical ...
The electrochemical CO2 reduction is a promising approach to convert this greenhouse gas to valuable products. The membrane electrode assembly (MEA) configuration integrates porous gas diffusion electrodes (GDEs) where the CO2 reduction reaction rapidly oc ...
The reaction of carbon dioxide with hydroxide to form carbonate in near-neutral or alkaline medium severely limits the energy and carbon efficiency of CO2 electroreduction. Here we show that by suppression of the otherwise predominant hydrogen evolution us ...
This paper considers the Byzantine fault-tolerance problem in distributed stochastic gradient descent (D-SGD) method - a popular algorithm for distributed multi-agent machine learning. In this problem, each agent samples data points independently from a ce ...
