Péter Kiss

Name:     Péter Kiss
Position: Ph.D. Student
Room:     7.26
Phone:   
E-mail:    kp (dot) peter (dot) kiss (at) gmail (dot) com mail

Links:      mtmt   ORCID    googlescholar    rg    Linkedin

Short biography

He is a Ph.D. candidate of ELTE and EIT Digital Doctoral School, at the Data Science and Engineering Department. He returned to the academic sphere after a couple of years I spent as c++ programmer in the industry. He’s primarily interested in highly scalable, and flexible distributed information systems and different aspects of artificial intelligence.

Research interests: Parallel and Distributed Computing, High-performance Computing, Meta-learning, and Federated Learning,

Publications @ELTE:

P. Kiss, T. Horváth, V. Felbab: “Stateful Optimization in Federated Learning of Neural Networks” In: Yin, Hujun; Camacho, David; Novais, Paulo; Analide, Cesar (eds.) Intelligent Data Engineering and Automated Learning – IDEAL 2020 Springer International Publishing, (2020) pp. 348-355. Paper: Chapter 33. (link to the article)


A. Reale, P. Kiss, M. Toth, Z. Horvath: “Designing a Decentralized Container-based Fog Computing Framework for Task Distribution and Management” . In: INTERNATIONAL JOURNAL OF COMPUTERS AND COMMUNICATIONS 13: x pp. 1-7. , 7 p. (2019). (link to the article)


G. Szegedi, P. Kiss, T. Horváth: “Evolutionary Federated Learning on EEG-data”. In: Petra, Barančíková; Martin, Holeňa; Tomáš, Horváth; Matúš, Pleva; Rudolf, Rosa (eds.) Proceedings of the 19th Conference Information Technologies – Applications and Theory (ITAT 2019) Dóval, Czechoslovakia: CEUR Workshop Proceedings, (2019) pp. 71-78. (link to the article)


V. Felbab,  P. Kiss, T. Horváth: “Optimization in Federated Learning”. In: Petra, Barančíková; Martin, Holeňa; Tomáš, Horváth; Matúš, Pleva; Rudolf, Rosa (eds.) Proceedings of the 19th Conference Information Technologies – Applications and Theory (ITAT 2019) Dóval, Czechoslovakia: CEUR Workshop Proceedings, (2019) pp. 58-65. (link to the article)


A. Reale, P. Kiss, et al.: Application Functions Placement Optimization in a Mobile Distributed Cloud Environment”. Studia Universitatis Babeș-Bolyai Informatica, [S.l.], v. 63, n. 2, p. 37-52, June 2018. ISSN 2065-9601. (link to the article)


P. Kiss, D. Fonyó, T. Horváth (2018). “BlaBoO: A Lightweight Black Box Optimizer Framework”. Accepted to the World Symposium on Digital Intelligence for Systems and Machines (DISA) 2018, Košice, Slovakia. (download manuscript) (link to proceedings)


P. Kiss, A. Reale, C. J. Ferrari, and Z. Istenes: Deployment of IoT applications on 5G Edge. In: Proceedings of Future IoT 2018; in Press (download manuscript)


 

Contact

ELTE University - Faculity of Informatics
Data Science and Engineering Department


Adress:
1117 Budapest,
Pázmány Péter str. 1/A
Northern Building
Telephone
+36-1-372-2500 ext. 8673
Postal Adress
1518 Budapest, P. O. Box 120.
MAP