∇-prox: Differentiable proximal algorithm modeling for large-scale optimization
Tasks across diverse application domains can be posed as large-scale optimization
problems, these include graphics, vision, machine learning, imaging, health, scheduling …
problems, these include graphics, vision, machine learning, imaging, health, scheduling …
IIoT data sharing based on blockchain: A multileader multifollower Stackelberg game approach
The evolution of the Industrial Internet of Things (IIoTs) greatly increases the volume of data
generated by the connected IIoT devices. IIoT data are playing an increasingly important …
generated by the connected IIoT devices. IIoT data are playing an increasingly important …
Distributed nonlinear model predictive control and metric learning for heterogeneous vehicle platooning with cut-in/cut-out maneuvers
Vehicle platooning has been shown to be quite fruitful in the transportation industry to
enhance fuel economy, road throughput, and driving comfort. Model Predictive Control …
enhance fuel economy, road throughput, and driving comfort. Model Predictive Control …
Federated PCA on Grassmann Manifold for IoT Anomaly Detection
With the proliferation of the Internet of Things (IoT) and the rising interconnectedness of
devices, network security faces significant challenges, especially from anomalous activities …
devices, network security faces significant challenges, especially from anomalous activities …
Interference management in NOMA-based fog-radio access networks via scheduling and power allocation
I Randrianantenaina, M Kaneko… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
This paper analyzes the integration of Non-Orthogonal Multiple Access (NOMA) in a Fog
Radio Access Network (FRAN) architecture with limited fronthaul capacity. More precisely, it …
Radio Access Network (FRAN) architecture with limited fronthaul capacity. More precisely, it …
[HTML][HTML] Decentralized intelligent multi-party competitive aggregation framework for electricity prosumers
X Cheng, R Yao, A Postnikov, Y Hu, L Varga - Applied Energy, 2024 - Elsevier
Electricity management systems are experiencing significant challenges due to the
increased penetration of distributed energy resources. Electricity flows in distribution …
increased penetration of distributed energy resources. Electricity flows in distribution …
Federated pca on grassmann manifold for anomaly detection in IoT networks
In the era of Internet of Things (IoT), network-wide anomaly detection is a crucial part of
monitoring IoT networks due to the inherent security vulnerabilities of most IoT devices …
monitoring IoT networks due to the inherent security vulnerabilities of most IoT devices …
[PDF][PDF] Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints.
J Giesen, S Laue - IJCAI, 2019 - ijcai.org
Many machine learning methods entail minimizing a loss-function that is the sum of the
losses for each data point. The form of the loss function is exploited algorithmically, for …
losses for each data point. The form of the loss function is exploited algorithmically, for …
Optimization for classical machine learning problems on the gpu
Constrained optimization problems arise frequently in classical machine learning. There
exist frameworks addressing constrained optimization, for instance, CVXPY and GENO …
exist frameworks addressing constrained optimization, for instance, CVXPY and GENO …
Adversarial attacks on coarse-to-fine classifiers
IR Alkhouri, GK Atia - ICASSP 2021-2021 IEEE International …, 2021 - ieeexplore.ieee.org
Adversarial attacks have exposed the vulnerability of one-stage classifiers to carefully
crafted perturbations which were shown to drastically alter their predictions while remaining …
crafted perturbations which were shown to drastically alter their predictions while remaining …