Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Giroire, Frederic"'
Autor:
Diana, Francesco, Marfoq, Othmane, Xu, Chuan, Neglia, Giovanni, Giroire, Frédéric, Thomas, Eoin
Federated Learning (FL) enables multiple clients, such as mobile phones and IoT devices, to collaboratively train a global machine learning model while keeping their data localized. However, recent studies have revealed that the training phase of FL
Externí odkaz:
http://arxiv.org/abs/2411.12697
Autor:
Natale, Emanuele, Ferre', Davide, Giambartolomei, Giordano, Giroire, Frédéric, Mallmann-Trenn, Frederik
Publikováno v:
38th Conference on Neural Information Processing Systems (NeurIPS 2024), Dec 2024, Vancouver, Canada
Considerable research efforts have recently been made to show that a random neural network $N$ contains subnetworks capable of accurately approximating any given neural network that is sufficiently smaller than $N$, without any training. This line of
Externí odkaz:
http://arxiv.org/abs/2410.14754
In this paper, we initiate the study of local model reconstruction attacks for federated learning, where a honest-but-curious adversary eavesdrops the messages exchanged between a targeted client and the server, and then reconstructs the local/person
Externí odkaz:
http://arxiv.org/abs/2210.16205
Autor:
Giroire, Frédéric, Nisse, Nicolas, Ohulchanskyi, Kostiantyn, Sulkowska, Małgorzata, Trolliet, Thibaud
In the field of complex networks, hypergraph models have so far received significantly less attention than graphs. However, many real-life networks feature multiary relations (co-authorship, protein reactions) may therefore be modeled way better by h
Externí odkaz:
http://arxiv.org/abs/2205.00071
Autor:
da Cunha, Arthur, d'Amore, Francesco, Giroire, Frédéric, Lesfari, Hicham, Natale, Emanuele, Viennot, Laurent
The average properties of the well-known Subset Sum Problem can be studied by the means of its randomised version, where we are given a target value $z$, random variables $X_1, \ldots, X_n$, and an error parameter $\varepsilon > 0$, and we seek a sub
Externí odkaz:
http://arxiv.org/abs/2204.13929
Numerous works have been proposed to generate random graphs preserving the same properties as real-life large scale networks. However, many real networks are better represented by hypergraphs. Few models for generating random hypergraphs exist and no
Externí odkaz:
http://arxiv.org/abs/2103.01751
The degree distributions of complex networks are usually considered to be power law. However, it is not the case for a large number of them. We thus propose a new model able to build random growing networks with (almost) any wanted degree distributio
Externí odkaz:
http://arxiv.org/abs/2008.03831
We study here the clustering of directed social graphs. The clustering coefficient has been introduced to capture the social phenomena that a friend of a friend tends to be my friend. This metric has been widely studied and has shown to be of great i
Externí odkaz:
http://arxiv.org/abs/2008.00517
Publikováno v:
In Theoretical Computer Science 9 January 2023 940 Part A:36-51
Autor:
Tomassilli, Andrea, Di Lena, Giuseppe, Giroire, Frédéric, Tahiri, Issam, Saucez, Damien, Pérennes, Stéphane, Turletti, Thierry, Sadykov, Ruslan, Vanderbeck, François, Lac, Chidung
Publikováno v:
In Computer Networks 19 June 2021 192