Perin, Giovanni and Ballotta, Luca and Dal Fabbro, Nicolò
(2024)
VREM-FL datasets: a collection of datasets for vehicular federated learning.
[Data Collection]
Collection description
This dataset collection includes three files that were used for the paper
L. Ballotta, N. D. Fabbro, G. Perin, L. Schenato, M. Rossi and G. Piro, "VREM-FL: mobility-aware computation-scheduling co-design for vehicular federated learning," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3479780.
Specifically, each file contains 6 columns: {timestep, vehicle ID, x coordinate in the map, y coordinate in the map, real bitrate, estimated bitrate}. The datasets, obtained from REMs with Gaussian estimation and real (https://ieee-dataport.org/open-access/crawdad-romataxi) or simulated (https://eclipse.dev/sumo/) vehicular mobility, are used in the original paper for optimizing the task of federated learning (client scheduling and resource allocation).
| DOI: |
 10.25430/researchdata.cab.unipd.it.00001430 |
| Keywords: |
Radio environment maps, 5G and beyond, federated learning, vehicular communications |
| Subjects: |
Physical:Sciences and Engineering > Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems > Computer architecture, pervasive computing, ubiquitous computing
Physical:Sciences and Engineering > Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems > Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
Physical:Sciences and Engineering > Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems > Computer systems, parallel/distributed systems, sensor networks, embedded systems, cyber-physical systems
Physical:Sciences and Engineering > Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems > Artificial intelligence, intelligent systems, multi agent systems
Physical:Sciences and Engineering > Systems and Communication Engineering: Electrical, electronic, communication, optical and systems engineering > Control engineering
Physical:Sciences and Engineering > Systems and Communication Engineering: Electrical, electronic, communication, optical and systems engineering > Communication technology, high-frequency technology
Physical:Sciences and Engineering > Systems and Communication Engineering: Electrical, electronic, communication, optical and systems engineering > Networks (communication networks, sensor networks, networks of robots, etc.) |
| Department: |
Departments > Dipartimento di Ingegneria dell'Informazione (DEI) |
| Depositing User: |
Giovanni Perin
|
| Date Deposited: |
19 Nov 2024 15:50 |
| Last Modified: |
19 Nov 2024 15:50 |
| Creators/Authors: |
|
| Type of data: |
Text |
| Contributors: |
| Contribution | Name | Email |
|---|
| UNSPECIFIED | Perin, Giovanni | giovanni.perin.1@unipd.it | | UNSPECIFIED | Ballotta, Luca | l.ballotta@tudelft.nl | | UNSPECIFIED | Dal Fabbro, Nicolò | ndf96@seas.upenn.edu |
|
| Research funder: |
Italian Ministry of University and Research (MUR), European Commission, European Commission |
| Research project title: |
Realtime Control of 5G Wireless Networks, Telecommunications of the Future, ROBUST-6G |
| Grant number: |
2017NS9FEY; PE0000001 – program “RESTART”; 101139068 |
| Collection period: |
|
| Data collection method: |
Computer simulation |
| Resource language: |
English |
| Metadata language: |
English |
| Publisher: |
Research Data Unipd |
| Related publications: |
|
| Date: |
18 November 2024 |
| Copyright holders: |
The Author |
| URI: |
https://researchdata.cab.unipd.it/id/eprint/1430 |
| Creators/Authors: |
|
| Type of data: |
Text |
| Contributors: |
| Contribution | Name | Email |
|---|
| UNSPECIFIED | Perin, Giovanni | giovanni.perin.1@unipd.it | | UNSPECIFIED | Ballotta, Luca | l.ballotta@tudelft.nl | | UNSPECIFIED | Dal Fabbro, Nicolò | ndf96@seas.upenn.edu |
|
| Research funder: |
Italian Ministry of University and Research (MUR), European Commission, European Commission |
| Research project title: |
Realtime Control of 5G Wireless Networks, Telecommunications of the Future, ROBUST-6G |
| Grant number: |
2017NS9FEY; PE0000001 – program “RESTART”; 101139068 |
| Collection period: |
|
| Data collection method: |
Computer simulation |
| Resource language: |
English |
| Metadata language: |
English |
| Publisher: |
Research Data Unipd |
| Related publications: |
|
| Date: |
18 November 2024 |
| Copyright holders: |
The Author |
| Last Modified: |
19 Nov 2024 15:50 |
|
orcid.org/0000-0002-7333-3004
