8 citations · 35 across the 13 of their papers we have counts for
13 papers
From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning
Rémi Bourgerie, Šarūnas Girdzijauskas, Viktoria Fodor
The conventional approach to machine learning, that is, collecting data, training models, and performing inference in a single location, faces fundamental limitations, including sc…
Resource Dimensioning for Single-Cell Edge Video Analytics
Jaume Anguera Peris, Viktoria Fodor
Edge intelligence is an emerging technology where the base stations located at the edge of the network are equipped with computing units that provide machine learning services to t…
Scalable Hierarchical Over-the-Air Federated Learning
Seyed Mohammad Azimi-Abarghouyi, Viktoria Fodor
When implementing hierarchical federated learning over wireless networks, scalability assurance and the ability to handle both interference and device data heterogeneity are crucia…
Modelling multi-cell edge video analytics
Jaume Anguera Peris, Viktoria Fodor
Edge intelligence is a scalable solution for analyzing distributed data, but it cannot provide reliable services in large-scale cellular networks unless the inherent aspects of fad…
Over-the-Air Federated Learning with Retransmissions (Extended Version)
Henrik Hellström, Viktoria Fodor, Carlo Fischione
Motivated by increasing computational capabilities of wireless devices, as well as unprecedented levels of user- and device-generated data, new distributed machine learning (ML) me…
Wireless for Machine Learning
Henrik Hellström, José Mairton B. da Silva, Mohammad Mohammadi Amiri +4
As data generation increasingly takes place on devices without a wired connection, machine learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have…
Will Scale-free Popularity Develop Scale-free Geo-social Networks?
Dong Liu, Viktoria Fodor, Lars K. Rasmussen
Empirical results show that spatial factors such as distance, population density and communication range affect our social activities, also reflected by the development of ties in…
Dynamic Spectrum Sharing for Load Balancing in Multi-Cell Mobile Edge Computing
Ming Zeng, Viktoria Fodor
Large-scale mobile edge computing (MEC) systems require scalable solutions to allocate communication and computing resources to the users. In this letter we address this challenge…
Distributed Algorithms for Feature Extraction Off-loading in Multi-Camera Visual Sensor Networks
Emil Eriksson, György Dán, Viktoria Fodor
Real-time visual analysis tasks, like tracking and recognition, require swift execution of computationally intensive algorithms. Visual sensor networks can be enabled to perform su…
Performance Analysis of Reliable Video Streaming with Strict Playout Deadline in Multi-Hop Wireless Networks
Hussein Al-Zubaidy, Viktoria Fodor, György Dán +1
Motivated by emerging vision-based intelligent services, we consider the problem of rate adaptation for high quality and low delay visual information delivery over wireless network…
Green Sensing and Access: Energy-Throughput Tradeoffs in Cognitive Networking
Hossein Shokri-Ghadikolaei, Ioannis Glaropoulos, Viktoria Fodor +2
Limited spectrum resources and dramatic growth of high data rate applications have motivated opportunistic spectrum access utilizing the promising concept of cognitive networks. Al…
Energy Efficient Spectrum Sensing and Handoff Strategies in Cognitive Radio Networks
Hossein Shokri-Ghadikolaei, Ioannis Glaropoulos, Viktoria Fodor +2
The limited spectrum resources and dramatic growth of high data rate communications have motivated opportunistic spectrum access using the promising concept of cognitive radio netw…
Heterogeneous attachment strategies optimize the topology of dynamic wireless networks
Beom Jun Kim, Petter Holme, Viktoria Fodor
In optimizing the topology of wireless networks built of a dynamic set of spatially embedded agents, there are many trade-offs to be dealt with. The network should preferably be as…