output
20102026
most citedMassive MIMO Transmission for LEO Satellite Communications

536 citations

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9 papers · 1 filter

cs.LG2026

An Empirical Study on Predictive Maintenance for Component X in Heavy-Duty Scania Trucks

Valeriu Dimidov, Sasan Jafarnejad, Raphaël Frank

Condition-based Predictive Maintenance (PdM) for truck fleets has gained momentum in recent years. This maintenance strategy aims to minimize unplanned downtimes and reduce costs b…

cs.LG2025★ 6 cited

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning

Senura Hansaja Wanasekara, Van-Dinh Nguyen, Kok-Seng +3

Goal-oriented semantic communication (SC) aims to revolutionize communication systems by transmitting only task-essential information. However, current approaches face challenges s…

cs.LG2024

Trustworthiness of Stochastic Gradient Descent in Distributed Learning

Hongyang Li, Caesar Wu, Mohammed Chadli +2

Distributed learning (DL) uses multiple nodes to accelerate training, enabling efficient optimization of large-scale models. Stochastic Gradient Descent (SGD), a key optimization a…

cs.LG2024★ 3 cited

Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies

Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada +1

Due to the rare occurrence of anomalous events, a typical approach to anomaly detection is to train an autoencoder (AE) with normal data only so that it learns the patterns or repr…

cs.LG2021★ 141 cited

Privacy-preserving Federated Learning for Residential Short Term Load Forecasting

Joaquin Delgado Fernandez, Sergio Potenciano Menci, Charles Lee +1

With high levels of intermittent power generation and dynamic demand patterns, accurate forecasts for residential loads have become essential. Smart meters can play an important ro…

cs.LG2019

Visualization of AE's Training on Credit Card Transactions with Persistent Homology

Jeremy Charlier, Francois Petit, Gaston Ormazabal +2

Auto-encoders are among the most popular neural network architecture for dimension reduction. They are composed of two parts: the encoder which maps the model distribution to a lat…