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Andre Manoel

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

Apr 27, 2022
Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis

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* To appear in the proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022)

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FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

Mar 25, 2022
Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal Diaz, Andre Manoel, Robert Sim

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* 13 Pages, 5 Figures, 8 Tables

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Federated Survival Analysis with Discrete-Time Cox Models

Jun 16, 2020
Mathieu Andreux, Andre Manoel, Romuald Menuet, Charlie Saillard, Chloé Simpson

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* 21 pages, 6 figures

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Approximate message-passing for convex optimization with non-separable penalties

Sep 17, 2018
Andre Manoel, Florent Krzakala, Gaël Varoquaux, Bertrand Thirion, Lenka Zdeborová

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* 18 pages, 6 figures

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Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing

Jun 02, 2017
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová

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* 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, 2017, pp. 1048-1055
* 19 pages, 4 figures

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