Obserwuj
Martin Jaggi
Martin Jaggi
EPFL
Zweryfikowany adres z epfl.ch - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
73782019
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
M Jaggi
ICML 2013 - Proceedings of the 30th International Conference on Machine Learning, 2013
16812013
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
11812020
Sparsified SGD with Memory
SU Stich, JB Cordonnier, M Jaggi
NeurIPS 2018 - Advances in Neural Information Processing Systems, 2018
9612018
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
9582018
On the Relationship between Self-Attention and Convolutional Layers
JB Cordonnier, A Loukas, M Jaggi
ICLR 2020 - International Conference on Learning Representations, 2020
7292020
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
5962019
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
5862019
Unsupervised Scalable Representation Learning for Multivariate Time Series
JY Franceschi, A Dieuleveut, M Jaggi
NeurIPS 2019 - Advances in Neural Information Processing Systems, 2019
5822019
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
5762020
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
5072020
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
S Lacoste-Julien, M Jaggi
NIPS 2015 - Advances in Neural Information Processing Systems, 2015
5072015
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
4542013
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
4292020
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
4282014
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
4152021
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
T Vogels, SP Karimireddy, M Jaggi
NeurIPS 2019 - Advances in Neural Information Processing Systems, 2019
3732019
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
3522017
Federated learning for malware detection in IoT devices
V Rey, PMS Sánchez, AH Celdrán, G Bovet, M Jaggi
arXiv preprint arXiv:2104.09994, 2021
3412021
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
3352018
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20