Laurent Massoulié
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Articles
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles,
AISTATS 2024, Valencia, Spain
AISTATS 2024, Valencia, Spain
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem,
NeurIPS 2024, Vancouver (BC), Canada
NeurIPS 2024, Vancouver (BC), Canada
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting,
CoRR 2024, Philadelphia, United States
CoRR 2024, Philadelphia, United States
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging,
NeurIPS 2022, New Orleans, United States
NeurIPS 2022, New Orleans, United States
On Sample Optimality in Personalized Collaborative and Federated Learning,
NeurIPS 2022, New Orleans, United States
NeurIPS 2022, New Orleans, United States
Impossibility of Partial Recovery in the Graph Alignment Problem,
COLT 2021, Boulder / Virtual, United States
COLT 2021, Boulder / Virtual, United States
A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip,
CoRR 2021, Sydney (virtual), Australia
CoRR 2021, Sydney (virtual), Australia
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization,
COLT 2021, Boulder, United States
COLT 2021, Boulder, United States
Dual-Free Stochastic Decentralized Optimization with Variance Reduction,
NeurIPS 2020, Vancouver / Virtual, Canada
NeurIPS 2020, Vancouver / Virtual, Canada
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization,
ICML 2020, Vienna / Virtual, Austria
ICML 2020, Vienna / Virtual, Austria
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives,
AISTATS 2019, Naha, Okinawa, Japan
AISTATS 2019, Naha, Okinawa, Japan
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums,
NeurIPS 2019, Vancouver, Canada
NeurIPS 2019, Vancouver, Canada
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks,
NeurIPS 2018, Montreal, Canada
NeurIPS 2018, Montreal, Canada
Rapid Mixing of Local Dynamics on Graphs,
31st International Symposium on Distributed Computing (DISC 2017) 2017, Vienna, Austria
31st International Symposium on Distributed Computing (DISC 2017) 2017, Vienna, Austria
Low-power Internet of Things with NDN & Cooperative Caching,
ACM ICN 2017 - 4th ACM Conference on Information-Centric Networking 2017, Berlin, Germany
ACM ICN 2017 - 4th ACM Conference on Information-Centric Networking 2017, Berlin, Germany
Non-Backtracking Spectrum of Degree-Corrected Stochastic Block Models,
ITCS 2017, Berkeley, United States
ITCS 2017, Berkeley, United States
Non-backtracking Spectrum of Random Graphs: Community Detection and Non-regular Ramanujan Graphs,
Annals of Probability 2015
Annals of Probability 2015
On the Interaction between Content Caching and Request Assignment in Cellular Cache Networks,
AllThingsCellular@SIGCOMM 2015, Londres, United Kingdom
AllThingsCellular@SIGCOMM 2015, Londres, United Kingdom
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models,
Advances in Applied Probability 2015
Advances in Applied Probability 2015
Designing Adaptive Replication Schemes in Distributed Content Delivery Networks,
ITC 2015, Ghent, Belgium
ITC 2015, Ghent, Belgium
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results,
COLT 2014, Barcelona, Spain
COLT 2014, Barcelona, Spain
Community detection thresholds and the weak Ramanujan property,
STOC 2014: 46th Annual Symposium on the Theory of Computing 2014, New York, United States
STOC 2014: 46th Annual Symposium on the Theory of Computing 2014, New York, United States
Best-effort Networks: Modeling and Performance Analysis via Large Networks Asymptotics,
INFOCOM 2001, Anchorage, United States
INFOCOM 2001, Anchorage, United States
SCAMP: Peer-to-Peer Lightweight Membership Service for Large-Scale Group Communication,
Networked Group Communication 2001
Networked Group Communication 2001
Journal articles
Noiseless Privacy-Preserving Decentralized Learning,
Proc. Priv. Enhancing Technol. 2025, Bristol, United Kingdom
Proc. Priv. Enhancing Technol. 2025, Bristol, United Kingdom
Accelerating abelian random walks with hyperbolic dynamics,
Probability Theory and Related Fields 2022
Probability Theory and Related Fields 2022
Rapid Mixing of Dynamic Graphs With Local Evolution Rules,
IEEE Transactions on Network Science and Engineering 2020
IEEE Transactions on Network Science and Engineering 2020
Efficient Inference in Stochastic Block Models With Vertex Labels,
IEEE Transactions on Network Science and Engineering 2020
IEEE Transactions on Network Science and Engineering 2020
Optimal Convergence Rates for Convex Distributed Optimization in Networks,
Journal of Machine Learning Research 2019
Journal of Machine Learning Research 2019
An impossibility result for reconstruction in the degree-corrected stochastic block model,
The Annals of Applied Probability 2018
The Annals of Applied Probability 2018
The Price of Privacy in Untrusted Recommender Systems,
IEEE Journal of Selected Topics in Signal Processing 2015
IEEE Journal of Selected Topics in Signal Processing 2015
The role of coding in the choice between routing and coding for wireless unicast,
Physical Communication 2013
Physical Communication 2013
Optimal Content Placement for Peer-to-Peer Video-on-Demand Systems,
IEEE/ACM Transactions on Networking 2013
IEEE/ACM Transactions on Networking 2013
Resource pooling in congested networks: proportional fairness and product form,
Queueing Syst. Theory Appl. 2009
Queueing Syst. Theory Appl. 2009
Distributing content updates over a mobile social network,
ACM SIGMOBILE Mob. Comput. Commun. Rev. 2009
ACM SIGMOBILE Mob. Comput. Commun. Rev. 2009
Integrating streaming and file-transfer Internet traffic: fluid and diffusion approximations,
Queueing Syst. Theory Appl. 2007
Queueing Syst. Theory Appl. 2007
A queueing analysis of max-min fairness, proportional fairness and balanced fairness,
Queueing Systems 2006
Queueing Systems 2006
Fair internet traffic integration: network flow models and analysis,
Ann. des Télécommunications 2004
Ann. des Télécommunications 2004
Probabilistic Reliable Dissemination in Large-Scale Systems,
IEEE Trans. Parallel Distributed Syst. 2003
IEEE Trans. Parallel Distributed Syst. 2003
Service differentiation for delay-sensitive applications: an optimisation-based approach,
Perform. Evaluation 2002
Perform. Evaluation 2002
A manufacturing system with general stationary failure process: stability and IPA of hedging control policies,
IEEE Trans. Autom. Control. 1997
IEEE Trans. Autom. Control. 1997
Imbedded construction of stationary sequences and point processes with a random memory,
Queueing Syst. Theory Appl. 1994
Queueing Syst. Theory Appl. 1994
Reports
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