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Márk Jelasity

Márk Jelasity

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
8536
World Ranking
7908
National Ranking
13

Overview

Márk Jelasity is affiliated with the University of Szeged in Hungary. Their research primarily falls within the field of Computer Science, with a concentrated focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Mechanics, and Information Systems.

Their scientific work covers various topics, including:

  • Adversarial Robustness in Machine Learning
  • Privacy-Preserving Technologies in Data
  • Data Stream Mining Techniques
  • Peer-to-Peer Network Technologies
  • Anomaly Detection Techniques and Applications
  • 3D Shape Modeling and Analysis
  • Human Pose and Action Recognition

Márk Jelasity has contributed to multiple publications, distributed across journals and conference proceedings. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of Parallel and Distributed Computing
  • Scientia et Securitas
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers authored or co-authored by Márk Jelasity include:

  • "Decentralized learning works: An empirical comparison of gossip learning and federated learning", 2020, Journal of Parallel and Distributed Computing
  • "On Evaluating the Adversarial Robustness of Semantic Segmentation Models", 2023, arXiv (Cornell University)
  • "A mesterséges intelligencia néhány biztonsági vetülete", 2020, Scientia et Securitas
  • "Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off", 2024, arXiv (Cornell University)
  • "How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct Matching", 2024, arXiv (Cornell University)

Their frequent co-authors include:

  • István Hegedűs
  • Gábor Danner
  • Levente Halmosi
  • Bálint Mohos
  • András Balogh

Best Publications

  • Gossip-based aggregation in large dynamic networks

    Márk Jelasity;Alberto Montresor;Ozalp Babaoglu

  • PeerSim: A scalable P2P simulator

    Alberto Montresor;Mark Jelasity

  • Gossip-based peer sampling

    Márk Jelasity;Spyros Voulgaris;Rachid Guerraoui;Anne-Marie Kermarrec

  • The peer sampling service: experimental evaluation of unstructured gossip-based implementations

    Márk Jelasity;Rachid Guerraoui;Anne-Marie Kermarrec;Maarten van Steen

  • Design patterns from biology for distributed computing

    Ozalp Babaoglu;Geoffrey Canright;Andreas Deutsch;Gianni A. Di Caro

  • T-Man: gossip-based overlay topology management

    Márk Jelasity;Ozalp Babaoglu

  • T-Man: Gossip-based fast overlay topology construction

    Márk Jelasity;Alberto Montresor;Ozalp Babaoglu

  • Epidemic-style proactive aggregation in large overlay networks

    M. Jelasity;A. Montresor

  • An integrated approach to characterize genetic interaction networks in yeast metabolism

    Balázs Szappanos;Károly Kovács;Béla Szamecz;Frantisek Honti;Frantisek Honti

  • A critical note on experimental research methodology in EC

    A.E. Eiben;M. Jelasity

  • A Framework for Distributed Evolutionary Algorithms

    Maribel García Arenas;Pierre Collet;A. E. Eiben;Márk Jelasity

  • Gossip Learning as a Decentralized Alternative to Federated Learning

    István Hegedűs;Gábor Danner;Márk Jelasity

  • A modular paradigm for building self-organizing peer-to-peer applications

    Mark Jelasity;Alberto Montresor;Ozalp Babaoglu

  • Gossip learning with linear models on fully distributed data

    Róbert Ormándi;István Hegedüs;Márk Jelasity

  • Decentralized learning works: An empirical comparison of gossip learning and federated learning

    István Hegedűs;Gábor Danner;Márk Jelasity

  • A robust and scalable peer-to-peer gossiping protocol

    Spyros Voulgaris;Márk Jelasity;Maarten van Steen

  • JA-BE-JA: A Distributed Algorithm for Balanced Graph Partitioning

    Fatemeh Rahimian;Amir H. Payberah;Sarunas Girdzijauskas;Mark Jelasity

  • Self-star Properties in Complex Information Systems

    O. Babaoglu;M. Jelasity;A. Montresor;C. Fetzer

  • Large-Scale Newscast Computing on the Internet

    M. Jelasity;M. van Steen

  • The self-star vision

    Ozalp Babaoglu;Márk Jelasity;Alberto Montresor;Christof Fetzer

  • Design Patterns from Biology for Distributed Computing

    Ozalp Babaoglu;G. Canright;A. Deutsch;G. Di Caro

Frequent Co-Authors

Alberto Montresor
Alberto Montresor University of Trento
Ozalp Babaoglu
Ozalp Babaoglu University of Bologna
Maarten van Steen
Maarten van Steen University of Twente
Stefano Leonardi
Stefano Leonardi Sapienza University of Rome
Anne-Marie Kermarrec
Anne-Marie Kermarrec École Polytechnique Fédérale de Lausanne
János Csirik
János Csirik University of Szeged
Tibor Gyimóthy
Tibor Gyimóthy University of Szeged
A. E. Eiben
A. E. Eiben Vrije Universiteit Amsterdam
Vittorio Maniezzo
Vittorio Maniezzo University of Bologna

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