activity
20162025
most citedFLeet: Online Federated Learning via Staleness Awareness and Performance Prediction

29 citations · 75 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2025

Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization

Aurélien Bellet, Edwige Cyffers, Davide Frey +3

Decentralized Learning (DL) enables users to collaboratively train models without sharing raw data by iteratively averaging local updates with neighbors in a network graph. This se…

cs.DC2022

Asynchronous Byzantine Reliable Broadcast With a Message Adversary

Timothé Albouy, Davide Frey, Michel Raynal +1

This paper considers the problem of reliable broadcast in asynchronous authenticated systems, in which n processes communicate using signed messages and up to t processes may behav…

cs.NI2021★ 28 cited

The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks

José Suárez-Varela, Miquel Ferriol-Galmés, Albert López +21

During the last decade, Machine Learning (ML) has increasingly become a hot topic in the field of Computer Networks and is expected to be gradually adopted for a plethora of contro…

cs.CR2021

: A Rock-Solid Foundation for Epidemic Consensus Algorithms in Very Large, Very Open Networks

Alex Auvolat, Yérom-David Bromberg, Davide Frey +1

Recent works have proposed new Byzantine consensus algorithms for blockchains based on epidemics, a design which enables highly scalable performance at a low cost. These methods ho…

cs.DC2020★ 3 cited

Money Transfer Made Simple: a Specification, a Generic Algorithm, and its Proof

Alex Auvolat, Davide Frey, Michel Raynal +1

It has recently been shown that, contrarily to a common belief, money transfer in the presence of faulty (Byzantine) processes does not require strong agreement such as consensus.…

cs.LG2020★ 29 cited

FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction

Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec +3

Federated Learning (FL) is very appealing for its privacy benefits: essentially, a global model is trained with updates computed on mobile devices while keeping the data of users l…

cs.AI2020

DiagNet: towards a generic, Internet-scale root cause analysis solution

Loïck Bonniot, Christoph Neumann, François Taïani

Diagnosing problems in Internet-scale services remains particularly difficult and costly for both content providers and ISPs. Because the Internet is decentralized, the cause of su…

cs.DB2019★ 11 cited

PnyxDB: a Lightweight Leaderless Democratic Byzantine Fault Tolerant Replicated Datastore

Loïck Bonniot, Christoph Neumann, François Taïani

Byzantine-Fault-Tolerant (BFT) systems are rapidly emerging as a viable technology for production-grade systems, notably in closed consortia deployments for nancial and supply-chai…

cs.DC2018★ 4 cited

Dietcoin: shortcutting the Bitcoin verification process for your smartphone

Davide Frey, Marc X. Makkes, Pierre-Louis Roman +2

Blockchains have a storage scalability issue. Their size is not bounded and they grow indefinitely as time passes. As of August 2017, the Bitcoin blockchain is about 120 GiB big wh…

cs.DC2016

Vertex Coloring with Communication and Local Memory Constraints in Synchronous Broadcast Networks

Hicham Lakhlef, Michel Raynal, François Taïani

The vertex coloring problem has received a lot of attention in the context of synchronous round-based systems where, at each round, a process can send a message to all its neighbor…