Relaxed Semantics Across the Data Analytics Stack

Informazioni relative al progetto

RELAX

ID dell’accordo di sovvenzione: 101072456

DOI

10.3030/101072456

Data della firma CE 13 Luglio 2022

Data di avvio 1 Marzo 2023

Data di completamento 28 Febbraio 2027

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 2 537 877,60

Coordinato da

CHALMERS TEKNISKA HOGSKOLA AB
Sweden

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Websites, patent fillings, videos etc. (1)

Web page

Web and Social Media Presence

Documents, reports (1)

Intermediate list of dissemination and exploitation of results, including communication activities (1)

Intermediate list of C/D/E activities (1)

Pubblicazioni

Other (5)

[VLDB Presentation] Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing

Autori: Ngo, Vinh; Papatriantafilou, Marina
Pubblicato in: 2025
DOI: 10.5281/ZENODO.17936042

Artifact of the paper: Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing

Autori: Vinh Quang Ngo, Marina Papatriantafilou
Pubblicato in: 51st International Conference on Very Large Data Bases, VLDB 2025, Numero PVLDB Volume 18, Numero 9, 2025
Editore: Proceedings of the 51st International Conference on Very Large Data Bases (VLDB 2025)
DOI: 10.5281/ZENODO.15593108

Artifact of the paper: interval-asynchrony: delimited intervals of localised asynchrony for fast parallel SGD

Autori: Jacob Garby, Philippas Tsigas 
Pubblicato in: Euro-Par 2025: Parallel Processing. Euro-Par 2025. Lecture Notes in Computer Science, Numero vol 15901, 2025
Editore: Springer
DOI: 10.5281/ZENODO.15576941

"Dataset for ""On-demand Memory Compression of Stream Aggregates through Reinforcement Learning"""

Autori: Jingyu Liu, Vincenzo Gulisano
Pubblicato in: 2025
Editore: ICPE
DOI: 10.5281/ZENODO.17525105

"Code for ""On-demand Memory Compression of Stream Aggregates through Reinforcement Learning"""

Autori: Jingyu Liu, Vincenzo Gulisano
Pubblicato in: 2025
Editore: ICPE
DOI: 10.5281/ZENODO.17525152

Conference proceedings (13)

Chunked Data Shapley: A Scalable Dataset Quality Assessment for Machine Learning

Autori: Andreas Loizou, Dimitrios Tsoumakos
Pubblicato in: Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
Editore: ACM
DOI: 10.1145/3746252.3761305

CLUE — Clustering-Based Load Understanding and Exploration: Summarizing High-Dimensional Electricity Grid Data for Scenario Analysis

Autori: Linus Magnusson, Rasmus Thorsson, Quang Vinh Ngo, Marina Papatriantafilou, Joris van Rooij, Mihail Chigrichenko
Pubblicato in: Workshop on Relaxed Semantics in Data Analytics Pipelines (RELAX 2025, in conjunction with ACM DEBS 2025, 2026
Editore: ACM
DOI: 10.5281/ZENODO.18740102

On-demand Memory Compression of Stream Aggregates through Reinforcement Learning

Autori: Jingyu Liu, Vincenzo Gulisano
Pubblicato in: Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering, 2025
Editore: ACM
DOI: 10.1145/3676151.3719369

Certifiably Quantisation-Robust training and inference of Neural Networks

Autori: Hue Dang, Matthew Robert Wicker, Goetz Botterweck, Andrea Patane
Pubblicato in: The 28th International Conference on Artificial Intelligence and Statistics (AIStats), Numero PMLR 258:5104-5112, 2025
Editore: Proceedings of Machine Learning Research

Causal Banzhaf Value for Aggregate Query Explanations

Autori: Pouya Khani, Ira Assent
Pubblicato in: Proceedings of the 27th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2025) co-located with the 28th International Conference on Extending Database Technology and the 28th International Conference o, 2025
Editore: DOLAP

Causal Banzhaf Value for Aggregate Query Explanations

Autori: Khani, Pouya; Assent, Ira
Pubblicato in: 2025
DOI: 10.5281/ZENODO.17899362

Poster: Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing

Autori: Ngo, Vinh; Papatriantafilou, Marina
Pubblicato in: 2025
DOI: 10.5281/ZENODO.16950398

Interval-Asynchrony: Delimited Intervals of Localised Asynchrony for Fast Parallel SGD

Autori: Jacob Garby, Philippas Tsigas
Pubblicato in: Lecture Notes in Computer Science, Euro-Par 2025: Parallel Processing, 2025, ISSN 1611-3349
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-99857-7_17

Relax and don't Stop: Graph-aware Asynchronous SSSP

Autori: Marco D'Antonio; Kåre von Geijer; Thai Son Mai; Philippas Tsigas; Hans Vandierendonck
Pubblicato in: Proceedings of the 1st FastCode Programming Challenge, 2025
DOI: 10.1145/3711708.3723446

Stochastic Weight Sharing for Bayesian Neural Networks

Autori: Moule Lin, Shuhao Guan, Weipeng Jing, Goetz Botterweck, Andrea Patane
Pubblicato in: The 28th International Conference on Artificial Intelligence and Statistics, Numero PMLR 258:4519-4527, 2025
Editore: Proceedings of Machine Learning Research

Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing

Autori: Vinh Quang Ngo, Marina Papatriantafilou
Pubblicato in: Proceedings of the 51st International Conference on Very Large Data Bases (VLDB 2025), PVLDB Volume 18,, Numero 9, 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.15593109

VEnOM: A Vector Embedding Operator Modelling Framework

Autori: Andreas Loizou, Nikolaos Andriotis, Dimitrios Tsoumakos
Pubblicato in: Proceedings of the 19th ACM International Conference on Distributed and Event-based Systems, 2025
Editore: ACM
DOI: 10.1145/3701717.3733227

Toward Efficient Asynchronous Single-Source Shortest Path

Autori: Marco D’Antonio, Thai Son Mai, Hans Vandierendonck
Pubblicato in: 2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2025
Editore: IEEE
DOI: 10.1109/IPDPSW66978.2025.00220

Book chapters (1)

Interval-Asynchrony: Delimited Intervals of Localised Asynchrony for Fast Parallel SGD

Autori: Jacob Garby, Philippas Tsigas
Pubblicato in: Lecture Notes in Computer Science, Euro-Par 2025: Parallel Processing, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-99857-7_17

Peer reviewed articles (3)

Cuckoo Heavy Keeper and the Balancing Act of Maintaining Heavy Hitters in Stream Processing

Autori: Vinh Quang Ngo, Marina Papatriantafilou
Pubblicato in: Proceedings of the VLDB Endowment, Numero 18, 2025, ISSN 2150-8097
Editore: Association for Computing Machinery (ACM)
DOI: 10.14778/3746405.3746434

WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting

Autori: Zichi Zhang, Tuan Dung Pham, Yimeng An, Ngoc Phu Doan, Majed Alsharari, Viet-Hung Tran, Anh-Tuan Hoang, Hans Vandierendonck, Son T. Mai
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 39, 2025, ISSN 2374-3468
Editore: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I21.34434

InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series

Autori: Viet-Hung Tran, Zichi Zhang, Tuan Dung Pham, Ngoc Phu Doan, Anh-Tuan Hoang, Peixin Li, Hans Vandierendonck, Ira Assent, Son T. Mai
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 39, 2025, ISSN 2374-3468
Editore: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I20.35387