Publications of Francesco Pasquale

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Publications of Francesco Pasquale

Articles in journal or book's chapters
  1. Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, and Luca Trevisan. Find Your Place: Simple Distributed Algorithms for Community Detection. SIAM Journal on Computing, 49(4):821-864, January 2020. [WWW ] [PDF ]
    Keywords: Distributed Algorithms, Averaging Dynamics, Community Detection, Spectral Analysis, Stochastic Block Models. [bibtex-entry]
     
  2. Luca Becchetti, Emilio Cruciani, Francesco Pasquale, and Sara Rizzo. Step-by-step community detection in volume-regular graphs. Theoretical Computer Science, 847:49-67, December 2020. [WWW ] [PDF ]
    Keywords: Community detection, Distributed algorithms, Dynamics, Markov chains, Spectral analysis. [bibtex-entry]
     
  3. L. Becchetti, A. Clementi, Emanuele Natale, F. Pasquale, and G. Posta. Self-stabilizing repeated balls-into-bins. Distributed Computing, 32(1):59-68, February 2019. [WWW ] [bibtex-entry]
     
Conference's articles
  1. Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, and Sara Rizzo. Biased Opinion Dynamics: When the Devil is in the Details. In IJCAI 2020 - 29th International Joint Conference on Artificial Intelligence, Yokohama, Japan, pages 53-59, July 2020. International Joint Conferences on Artificial Intelligence Organization. [WWW ] [PDF ] [bibtex-entry]
     
  2. Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, and Luca Trevisan. Finding a Bounded-Degree Expander Inside a Dense One. In SODA 2020 - ACM SIAM Symposium on Discrete Algorithms, Proceedings of the thirty-first Annual ACM-SIAM Symposium on Discrete Algorithms, Salt Lake City, United States, January 2020. [WWW ] [PDF ] [bibtex-entry]
     
  3. Andrea Clementi, Luciano GualĂ , Emanuele Natale, Francesco Pasquale, Giacomo Scornavacca, and Luca Trevisan. Consensus vs Broadcast, with and without Noise. In ITCS 2020 - 11th Annual Innovations in Theoretical Computer Science, 11th Innovations in Theoretical Computer Science Conference, Seattle, United States, pages 42 - 43, January 2020. [WWW ] [PDF ]
    Keywords: Noisy Com- 46 munication Channels 47, Gossip Models, Broadcast, Distributed computing, and phrases Distributed Computing, Consensus. [bibtex-entry]
     
Internal reports
  1. Andrea Clementi, Luciano GualĂ , Emanuele Natale, Francesco Pasquale, Giacomo Scornavacca, and Luca Trevisan. Consensus Needs Broadcast in Noiseless Models but can be Exponentially Easier in the Presence of Noise. Research Report, CNRS, 2018. [WWW ] [PDF ] [bibtex-entry]
     

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Last modified: Sat Jan 29 19:00:46 2022