Results 91 to 100 of about 9,950,038 (297)
Federated Neural Architecture Search
, 2020 To preserve user privacy while enabling mobile intelligence, techniques have been proposed to train deep neural networks on decentralized data. However, training over decentralized data makes the design of neural architecture quite difficult as it ...
Bian, Kaigui +5 more
core
U.S. Consumer Preferences for Cage‐Free Eggs and Hen Housing Policies
Agribusiness, EarlyView.ABSTRACT Farm animal welfare (FAW) continues to be a divisive issue in the egg industry. In the United States, 10 states and most major retailers have implemented policies or voluntary pledges to transition to 100% cage‐free egg sales. We use best‐worst scaling and discrete choice experiments to evaluate U.S.
Vincenzina Caputo +3 more
wiley +1 more source
State-of-the-Art in Sequential Change-Point Detection
, 2011 We provide an overview of the state-of-the-art in the area of sequential change-point detection assuming discrete time and known pre- and post-change distributions.
Polunchenko, Aleksey S. +1 more
core +1 more source
Agribusiness, EarlyView.ABSTRACT Agricultural soils offer great potential for carbon sequestration through humus formation. One way to motivate farmers to build up humus is through humus programs. These are still at an early stage of development, poorly explored, and the number of participating farmers is low. Our aim is to explain the heterogeneity of farmers' willingness to
Julia B. Block +2 more
wiley +1 more source
, 2009 Pac-Bayes bounds are among the most accurate generalization bounds for classifiers learned from independently and identically distributed (IID) data, and it is particularly so for margin classifiers: there have been recent contributions showing how ...
Ralaivola, Liva +2 more
core +2 more sources
On Bayesian Asymptotics in Stochastic Differential Equations with Random Effects [PDF]
, 2016 Delattre et al. (2013) investigated asymptotic properties of the maximum likelihood estimator of the population parameters of the random effects associated with n independent stochastic differential equations (SDEs) assuming that the SDEs are independent
Bhattacharya, Sourabh, Maitra, Trisha
core
IEEE AccessFederated Learning (FL) enables collaborative training of Machine Learning (ML) models across decentralized clients while preserving data privacy.
Daniel Mauricio Jimenez Gutierrez +3 more
semanticscholar +1 more source
Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language
Agribusiness, EarlyView.ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak +2 more
wiley +1 more source
Neuroscience InformaticsData Heterogeneity or Non-IID (non-independent and identically distributed) data identification is one of the prominent challenges in Federated Learning (FL).
Md. Rahad +5 more
doaj +1 more source
FedCD: Improving Performance in non-IID Federated Learning
, 2020 Federated learning has been widely applied to enable decentralized devices, which each have their own local data, to learn a shared model. However, learning from real-world data can be challenging, as it is rarely identically and independently distributed (IID) across edge devices (a key assumption for current high-performing and low-bandwidth ...
Kopparapu, Kavya +2 more
openaire +2 more sources