34 citations · 170 across the 44 of their papers we have counts for
48 papers
LIFT: Byzantine Resilient Hub-Sampling
Mohamed Amine Legheraba, Nour Rachdi, Maria Gradinariu Potop-Butucaru +1
Recently, a novel peer sampling protocol, Elevator, was introduced to construct network topologies tailored for emerging decentralized applications such as federated learning and b…
Emergent Peer-to-Peer Multi-Hub Topology
Mohamed Amine Legheraba, Maria Potop-Butucaru, Sébastien Tixeuil +1
In this paper we propose and evaluate an innovative algorithm that enables the creation of Peer-to-Peer network overlays characterized by emergent multi-hubs. This approach generat…
Data Poisoning Attacks in Gossip Learning
Alexandre Pham, Maria Potop-Butucaru, Sébastien Tixeuil +1
Traditional machine learning systems were designed in a centralized manner. In such designs, the central entity maintains both the machine learning model and the data used to adjus…
Resilience of IOTA Consensus
Hamed Mamache, Gabin Mazué, Osama Rashid +2
Blockchains are appealing technologies with various applications ranging from banking to networking. IOTA blockchain is one of the most prominent blockchain specifically designed f…
On Fairness in Committee-based Blockchains
Yackolley Amoussou-Guenou, Antonella del Pozzo, Maria Potop-Butucaru +1
Committee-based blockchains are among the most popular alternatives of proof-of-work based blockchains, such as Bitcoin. They provide strong consistency (no fork) under classical a…
Metamorphic IOTA
Gewu Bu, Wassim Hana, Maria Potop-Butucaru
IOTA opened recently a new line of research in distributed ledgers area by targeting algorithms that ensure a high throughput for the transactions generated in IoT systems. Transac…