activity
20062026
most citedRepairing Multiple Failures with Coordinated and Adaptive Regenerating Codes

78 citations · 293 across the 56 of their papers we have counts for

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22 papers · 1 filter

cs.DC2026

AgentWeave: Efficient Distributed Agent Serving via Flow Decomposition

Kaibin Guo, Pengtu Li, Zicong Hong +4

Agent applications are evolving into workflows composed of large language model (LLM) calls and tool invocations, termed modules. Existing distributed agent systems typically adopt…

cs.DC2026

Efficient and Robust Online Learning to Rank in Decentralized Systems

Marcel Gregoriadis, Martijn de Vos, Sayan Biswas +2

In Online Learning to Rank (OLTR), ranking models are trained directly from live user interactions, but existing systems rely on a trusted central server to collect and process the…

cs.DC2025

Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster

Marie Reinbigler, Rishi Sharma, Rafael Pires +3

Analyzing gigapixel images is recognized as computationally demanding. In this paper, we introduce PyramidAI, a technique for analyzing gigapixel images with reduced computational…

cs.DC2025

HarMoEny: Efficient Multi-GPU Inference of MoE Models

Zachary Doucet, Rishi Sharma, Martijn de Vos +3

Mixture-of-Experts (MoE) models offer computational efficiency during inference by activating only a subset of specialized experts for a given input. This enables efficient model s…

cs.DC2025★ 2 cited

Practical Federated Learning without a Server

Akash Dhasade, Anne-Marie Kermarrec, Erick Lavoie +3

Federated Learning (FL) enables end-user devices to collaboratively train ML models without sharing raw data, thereby preserving data privacy. In FL, a central parameter server coo…

cs.DC2024★ 2 cited

Boosting Asynchronous Decentralized Learning with Model Fragmentation

Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani +3

Decentralized learning (DL) is an emerging technique that allows nodes on the web to collaboratively train machine learning models without sharing raw data. Dealing with stragglers…

cs.DC2024★ 2 cited

PeerSwap: A Peer-Sampler with Randomness Guarantees

Rachid Guerraoui, Anne-Marie Kermarrec, Anastasiia Kucherenko +2

The ability of a peer-to-peer (P2P) system to effectively host decentralized applications often relies on the availability of a peer-sampling service, which provides each participa…

cs.DC2024★ 5 cited

Noiseless Privacy-Preserving Decentralized Learning

Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec +4

Decentralized learning (DL) enables collaborative learning without a server and without training data leaving the users' devices. However, the models shared in DL can still be used…

cs.DC2023

On the Inherent Anonymity of Gossiping

Rachid Guerraoui, Anne-Marie Kermarrec, Anastasiia Kucherenko +2

Detecting the source of a gossip is a critical issue, related to identifying patient zero in an epidemic, or the origin of a rumor in a social network. Although it is widely acknow…

cs.DC2023★ 5 cited

Get More for Less in Decentralized Learning Systems

Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires +3

Decentralized learning (DL) systems have been gaining popularity because they avoid raw data sharing by communicating only model parameters, hence preserving data confidentiality.…

cs.DC2023★ 15 cited

Decentralized Learning Made Easy with DecentralizePy

Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires +2

Decentralized learning (DL) has gained prominence for its potential benefits in terms of scalability, privacy, and fault tolerance. It consists of many nodes that coordinate withou…

cs.DC2023★ 1 cited

Decentralized Learning Made Practical with Client Sampling

Martijn de Vos, Akash Dhasade, Anne-Marie Kermarrec +3

Decentralized learning (DL) leverages edge devices for collaborative model training while avoiding coordination by a central server. Due to privacy concerns, DL has become an attra…

cs.DC2022★ 9 cited

TEE-based decentralized recommender systems: The raw data sharing redemption

Akash Dhasade, Nevena Dresevic, Anne-Marie Kermarrec +1

Recommenders are central in many applications today. The most effective recommendation schemes, such as those based on collaborative filtering (CF), exploit similarities between us…

cs.DC2015

Beyond One Third Byzantine Failures

Cheng Wang, Carole Delporte-Gallet, Hugues Fauconnier +2

The Byzantine agreement problem requires a set of processes to agree on a value sent by a transmitter, despite a subset of processes behaving in an arbitrary, i.e. Byzantin…

cs.DC2012

Clustered Network Coding for Maintenance in Practical Storage Systems

Anne-Marie Kermarrec, Erwan Le Merrer, Gilles Straub +1

Classical erasure codes, e.g. Reed-Solomon codes, have been acknowledged as an efficient alternative to plain replication to reduce the storage overhead in reliable distributed sto…

cs.DC2012★ 30 cited

Regenerating Codes: A System Perspective

Steve Jiekak, Anne-Marie Kermarrec, Nicolas Le Scouarnec +2

The explosion of the amount of data stored in cloud systems calls for more efficient paradigms for redundancy. While replication is widely used to ensure data availability, erasure…

cs.DC2012★ 1 cited

On Dynamic Distributed Computing

Rachid Guerraoui, Florian Huc, Anne-Marie Kermarrec

This paper shows for the first time that distributed computing can be both reliable and efficient in an environment that is both highly dynamic and hostile. More specifically, we s…

cs.DC2011★ 3 cited

Scalable and Secure Aggregation in Distributed Networks

Sebastien Gambs, Rachid Guerraoui, Hamza Harkous +2

We consider the problem of computing an aggregation function in a \emph{secure} and \emph{scalable} way. Whereas previous distributed solutions with similar security guarantees hav…

cs.DC2008★ 1 cited

Energy Aware Self-Organizing Density Management in Wireless Sensor Networks

Erwan Le Merrer, Vincent Gramoli, Anne-Marie Kermarrec +2

Energy consumption is the most important factor that determines sensor node lifetime. The optimization of wireless sensor network lifetime targets not only the reduction of energy…

cs.DC2008

Core Persistence in Peer-to-Peer Systems: Relating Size to Lifetime

Vincent Gramoli, Anne-Marie Kermarrec, Achour Mostefaoui +2

Distributed systems are now both very large and highly dynamic. Peer to peer overlay networks have been proved efficient to cope with this new deal that traditional approaches can…

cs.DC2007

Distributed Slicing in Dynamic Systems

Antonio Fernandez, Vincent Gramoli, Ernesto Jimenez +2

Peer to peer (P2P) systems are moving from application specific architectures to a generic service oriented design philosophy. This raises interesting problems in connection with p…

cs.DC2006★ 22 cited

Distributed Slicing in Dynamic Systems

Antonio Fernandez, Vincent Gramoli, Ernesto Jimenez +2

Peer to peer (P2P) systems are moving from application specific architectures to a generic service oriented design philosophy. This raises interesting problems in connection with p…