Privacy preserving distributed training of neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04880-0
Abstract: L earnae is a system aiming to achieve a fully distributed way of neural network training. It follows a “Vires in Numeris” approach, combining the resources of commodity personal computers. It has a full peer-to-peer… read more here.
Keywords: network; privacy preserving; training data; distributed training ... See more keywords
Privacy-preserving distributed parameter estimation for probability distribution of wind power forecast error
Sign Up to like & getrecommendations! Published in 2021 at "Renewable Energy"
DOI: 10.1016/j.renene.2020.06.102
Abstract: Building the conditional probability distribution of wind power forecast errors benefits both wind farms (WFs) and independent system operators (ISOs). Establishing the joint probability distribution of wind power and the corresponding forecast data of spatially… read more here.
Keywords: probability distribution; preserving distributed; probability; privacy preserving ... See more keywords
Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocz199
Abstract: OBJECTIVES We propose a one-shot, privacy-preserving distributed algorithm to perform logistic regression (ODAL) across multiple clinical sites. MATERIALS AND METHODS ODAL effectively utilizes the information from the local site (where the patient-level data are accessible)… read more here.
Keywords: privacy preserving; distributed algorithm; preserving distributed; site ... See more keywords
Privacy-Preserving Distributed ADMM With Event-Triggered Communication.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3192346
Abstract: This article addresses distributed optimization problems, in which a group of agents cooperatively minimize the sum of their private objective functions via information exchanging. Building on alternating direction method of multipliers (ADMM), we propose a… read more here.
Keywords: event triggered; communication; privacy preserving; preserving distributed ... See more keywords
Privacy-Preserving Distributed Average Observers in Distribution Systems With Grid-Forming Inverters
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2021.3105651
Abstract: Information security is critical for the safe and secure operation of distribution systems. Distributed averaging has been frequently utilized to coordinate multiple inverter-interfaced distributed generators (DGs) within the distribution grid. Unfortunately, state-of-the-art dynamic consensus-based average… read more here.
Keywords: privacy preserving; preserving distributed; distribution systems; average observers ... See more keywords