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Martin Jaggi
Martin Jaggi
EPFL
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Advances and Open Problems in Federated Learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
67162019
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
M Jaggi
ICML 2013 - Proceedings of the 30th International Conference on Machine Learning, 2013
16332013
Ensemble Distillation for Robust Model Fusion in Federated Learning
T Lin, L Kong, SU Stich, M Jaggi
NeurIPS 2020 - Advances in Neural Information Processing Systems, 2020
10652020
Unsupervised learning of sentence embeddings using compositional n-gram features
M Pagliardini, P Gupta, M Jaggi
NAACL 2018 - Conference of the North American Chapter of the Association for …, 2018
9282018
Sparsified SGD with Memory
SU Stich, JB Cordonnier, M Jaggi
NeurIPS 2018 - Advances in Neural Information Processing Systems, 2018
9182018
On the Relationship between Self-Attention and Convolutional Layers
JB Cordonnier, A Loukas, M Jaggi
ICLR 2020 - International Conference on Learning Representations, 2020
6772020
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
SP Karimireddy, Q Rebjock, SU Stich, M Jaggi
ICML 2019 - Proceedings of the 36th International Conference on Machine Learning, 2019
5642019
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
A Koloskova, SU Stich, M Jaggi
ICML 2019 - Proceedings of the 36th International Conference on Machine Learning, 2019
5602019
Unsupervised Scalable Representation Learning for Multivariate Time Series
JY Franceschi, A Dieuleveut, M Jaggi
NeurIPS 2019 - Advances in Neural Information Processing Systems, 2019
5322019
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
A Koloskova, N Loizou, S Boreiri, M Jaggi, SU Stich
ICML 2020 - Proceedings of the 37th International Conference on Machine Learning, 2020
5292020
Don't Use Large Mini-Batches, Use Local SGD
T Lin, SU Stich, KK Patel, M Jaggi
ICLR 2020 - International Conference on Learning Representations, 2020
4942020
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
S Lacoste-Julien, M Jaggi
NIPS 2015 - Advances in Neural Information Processing Systems, 2015
4902015
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
S Lacoste-Julien, M Jaggi, M Schmidt, P Pletscher
ICML 2013 - Proceedings of the 30th International Conference on Machine Learning, 2013
4362013
Communication-Efficient Distributed Dual Coordinate Ascent
M Jaggi, V Smith, M Takác, J Terhorst, S Krishnan, T Hofmann, MI Jordan
NIPS 2014 - Advances in Neural Information Processing Systems, 3068-3076, 2014
4202014
Evaluating the Search Phase of Neural Architecture Search
K Yu, C Sciuto, M Jaggi, C Musat, M Salzmann
ICLR 2020 - International Conference on Learning Representations, 2020
419*2020
A field guide to federated optimization
J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ...
arXiv preprint arXiv:2107.06917, 2021
3832021
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
T Vogels, SP Karimireddy, M Jaggi
NeurIPS 2019 - Advances in Neural Information Processing Systems, 2019
3502019
Learning Aerial Image Segmentation from Online Maps
P Kaiser, JD Wegner, A Lucchi, M Jaggi, T Hofmann, K Schindler
IEEE Transactions on Geoscience and Remote Sensing, 2017
3412017
CoCoA: A general framework for communication-efficient distributed optimization
V Smith, S Forte, C Ma, M Takac, MI Jordan, M Jaggi
Journal of Machine Learning Research 18 (230), 1−49, 2018
3232018
Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
K Bennani-Smires, C Musat, A Hossmann, M Baeriswyl, M Jaggi
CoNLL 2018 - SIGNLL Conference on Computational Natural Language Learning, 2018
3182018
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Artículos 1–20