Local Lyapunov exponents of deep echo state networks
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.11.073
Abstract: Abstract The analysis of deep Recurrent Neural Network (RNN) models represents a research area of increasing interest. In this context, the recent introduction of Deep Echo State Networks (DeepESNs) within the Reservoir Computing paradigm, enabled… read more here.
Keywords: deep echo; local lyapunov; state networks; echo state ... See more keywords
LEOPARD: Parallel Optimal Deep Echo State Network Prediction Improves Service Coverage for UAV-Assisted Outdoor Hotspots
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2021.3115765
Abstract: Unmanned aerial vehicle (UAV) base stations (BSs) can help meet the dynamic traffic demand of flash mobile crowds, but user movements also pose a significant challenge on fast-tracking for avoiding service interruption. This paper presents… read more here.
Keywords: state; deep echo; prediction; state network ... See more keywords
Decentralized Federated Learning for Industrial IoT With Deep Echo State Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3194627
Abstract: Federated learning (FL) has recently been adopted to train shared models across industrial Internet of Things (IoT) devices without revealing their private raw data. Conventional FL usually relies on a central server for coordination. However,… read more here.
Keywords: iot deep; deep echo; federated learning; decentralized federated ... See more keywords