181 citations · 1.2k across the 132 of their papers we have counts for
20 papers · 1 filter
Causality Graph of Vehicular Traffic Flow
Sina Molavipour, Germán Bassi, Mladen Čičić +2
In an intelligent transportation system, the effects and relations of traffic flow at different points in a network are valuable features which can be exploited for control system…
A ReLU Dense Layer to Improve the Performance of Neural Networks
Alireza M. Javid, Sandipan Das, Mikael Skoglund +1
We propose ReDense as a simple and low complexity way to improve the performance of trained neural networks. We use a combination of random weights and rectified linear unit (ReLU)…
Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing
Hao Chen, Yu Ye, Ming Xiao +2
Big data, including applications with high security requirements, are often collected and stored on multiple heterogeneous devices, such as mobile devices, drones and vehicles. Due…
On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm
Borja Rodríguez-Gálvez, Germán Bassi, Ragnar Thobaben +1
In this work, we unify several expected generalization error bounds based on random subsets using the framework developed by Hellström and Durisi [1]. First, we recover the bounds…
Quantifying Membership Privacy via Information Leakage
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering +1
Machine learning models are known to memorize the unique properties of individual data points in a training set. This memorization capability can be exploited by several types of a…
A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning
Xinyue Liang, Alireza M. Javid, Mikael Skoglund +1
We design a low complexity decentralized learning algorithm to train a recently proposed large neural network in distributed processing nodes (workers). We assume the communication…