498 citations · 934 across the 15 of their papers we have counts for
16 papers
MOZAIK: A Privacy-Preserving Analytics Platform for IoT Data Using MPC and FHE
Michiel Van Kenhove, Erik Pohle, Leonard Schild +5
The rapid increase of Internet of Things (IoT) systems across several domains has led to the generation of vast volumes of sensitive data, presenting significant challenges in term…
Delta Sum Learning: an approach for fast and global convergence in Gossip Learning
Tom Goethals, Merlijn Sebrechts, Stijn De Schrijver +2
Federated Learning is a popular approach for distributed learning due to its security and computational benefits. With the advent of powerful devices in the network edge, Gossip Le…
ConCap: Practical Network Traffic Generation for (ML- and) Flow-based Intrusion Detection Systems
Miel Verkerken, Laurens D'hooge, Bruno Volckaert +2
Network Intrusion Detection Systems (NIDS) have been studied in research for almost four decades. Yet, despite thousands of papers claiming scientific advances, a non-negligible nu…
Trusting the Cloud-Native Edge: Remotely Attested Kubernetes Workers
Jordi Thijsman, Merlijn Sebrechts, Filip De Turck +1
A Kubernetes cluster typically consists of trusted nodes, running within the confines of a physically secure datacenter. With recent advances in edge orchestration, this is no long…
Haptic Interactions for Extended Reality
Yentl Vermeulen, Sam Van Damme, Glenn Van Wallendael +2
This research investigates whether the interaction methods of XR headsets can be improved by using haptic feedback. As a first and most common technique, indirect interactions are…
Methodology for Simulation-based Comparison of Algorithms for Distributed Mutual Exclusion
Filip De Turck
In this paper, we show how different types of distributed mutual algorithms can be compared in terms of performance through simulations. A simulation-based approach is presented, t…
Towards Achieving Immersive Holographic-Type Communication
Filip De Turck
This paper focuses on video streaming over telecommunication networks, taking the important evolution towards network softwarizaton into account. The importance and the opportuniti…
MPI-based Evaluation of Coordinator Election Algorithms
Filip De Turck
In this paper, we detail how two types of distributed coordinator election algorithms can be compared in terms of performance based on an evaluation on the High Performance Computi…
Adapting Kubernetes controllers to the edge: on-demand control planes using Wasm and WASI
Merlijn Sebrechts, Tim Ramlot, Sander Borny +3
Kubernetes' high resource requirements hamper its adoption in constrained environments such as the edge and fog. Its extensible control plane is a significant contributor to this,…
Efficient Resource Allocation through Integer Linear Programming: a detailed example
Filip De Turck
In this paper, we show how a resource allocation problem can be solved through Integer Linear Programming (ILP). A detailed illustrative example is presented, together with an exha…
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
Gilles Vandewiele, Bram Steenwinckel, Pieter Bonte +5
As KGs are symbolic constructs, specialized techniques have to be applied in order to make them compatible with data mining techniques. RDF2Vec is an unsupervised technique that ca…
Overly Optimistic Prediction Results on Imbalanced Data: a Case Study of Flaws and Benefits when Applying Over-sampling
Gilles Vandewiele, Isabelle Dehaene, György Kovács +9
Information extracted from electrohysterography recordings could potentially prove to be an interesting additional source of information to estimate the risk on preterm birth. Rece…
GENDIS: GENetic DIscovery of Shapelets
Gilles Vandewiele, Femke Ongenae, Filip De Turck
In the time series classification domain, shapelets are small time series that are discriminative for a certain class. It has been shown that classifiers are able to achieve state-…
A Framework for Qualitative Communications Using Big Packet Protocol
Richard Li, Kiran Makhijani, Hamed Yousefi +4
In the current Internet architecture, a packet is a minimal or fundamental unit upon which different actions such as classification,forwarding, or discarding are performed by the n…
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang, Rein Houthooft, Davis Foote +6
Count-based exploration algorithms are known to perform near-optimally when used in conjunction with tabular reinforcement learning (RL) methods for solving small discrete Markov d…
VIME: Variational Information Maximizing Exploration
Rein Houthooft, Xi Chen, Yan Duan +3
Scalable and effective exploration remains a key challenge in reinforcement learning (RL). While there are methods with optimality guarantees in the setting of discrete state and a…