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Dimitris Papailiopoulos
Dimitris Papailiopoulos
Associate Professor, University of Wisconsin-Madison
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XORing elephants: Novel erasure codes for big data
M Sathiamoorthy, M Asteris, D Papailiopoulos, AG Dimakis, R Vadali, ...
Proceedings of the VLDB Endowment 6 (5), 325-336, 2013
8692013
Speeding up distributed machine learning using codes
K Lee, M Lam, R Pedarsani, D Papailiopoulos, K Ramchandran
IEEE Transactions on Information Theory, 2017
8012017
Federated Learning with Matched Averaging
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
ICLR 2020, 2020
6302020
Locally repairable codes
DS Papailiopoulos, AG Dimakis
IEEE Transactions on Information Theory 60 (10), 5843-5855, 2014
5462014
Atomo: Communication-efficient learning via atomic sparsification
H Wang, S Sievert, S Liu, Z Charles, S Wright, D Papailiopoulos
Advances in Neural Information Processing Systems 31, 9850-9861, 2018
2972018
Attack of the tails: Yes, you really can backdoor federated learning
H Wang, K Sreenivasan, S Rajput, H Vishwakarma, S Agarwal, J Sohn, ...
Advances in Neural Information Processing Systems 33, 2020
2872020
Locality and availability in distributed storage
AS Rawat, DS Papailiopoulos, AG Dimakis, S Vishwanath
IEEE Transactions on Information Theory 62 (8), 4481-4493, 2016
2522016
Simple regenerating codes: Network coding for cloud storage
DS Papailiopoulos, J Luo, AG Dimakis, C Huang, J Li
2012 Proceedings IEEE INFOCOM, 2801-2805, 2012
2462012
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
L Chen, H Wang, Z Charles, D Papailiopoulos
International Conference on Machine Learning, 902-911, 2018
237*2018
Optimal locally repairable codes and connections to matroid theory
I Tamo, DS Papailiopoulos, AG Dimakis
IEEE Transactions on Information Theory 62 (12), 6661-6671, 2016
2322016
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization
H Mania, X Pan, D Papailiopoulos, B Recht, K Ramchandran, MI Jordan
SIAM Journal on Optimization 27 (4), 2202-2229, 2017
2122017
Repair optimal erasure codes through hadamard designs
DS Papailiopoulos, AG Dimakis, VR Cadambe
IEEE transactions on information theory 59 (5), 3021-3037, 2013
2062013
Interference alignment as a rank constrained rank minimization
DS Papailiopoulos, AG Dimakis
IEEE Transactions on Signal Processing 60 (8), 4278-4288, 2012
2052012
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
D Yin, A Pananjady, M Lam, D Papailiopoulos, K Ramchandran, P Bartlett
Proceedings of the 21th International Conference on Artificial Intelligence …, 2018
1252018
Stability and generalization of learning algorithms that converge to global optima
Z Charles, D Papailiopoulos
International Conference on Machine Learning, 745-754, 2018
1242018
Parallel Correlation Clustering on Big Graphs
X Pan, D Papailiopoulos, S Oymak, B Recht, K Ramchandran, MI Jordan
Advances in Neural Information Processing Systems, 82-90, 2015
982015
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
S Rajput, H Wang, Z Charles, D Papailiopoulos
Advances in Neural Information Processing Systems, 10320-10330, 2019
902019
Provable Deterministic Leverage Score Sampling
D Papailiopoulos, A Kyrillidis, C Boutsidis
arXiv preprint arXiv:1404.1530, 2014
872014
Sparse PCA through low-rank approximations
D Papailiopoulos, A Dimakis, S Korokythakis
International Conference on Machine Learning, 747-755, 2013
812013
Approximate Gradient Coding via Sparse Random Graphs
Z Charles, D Papailiopoulos, J Ellenberg
arXiv preprint arXiv:1711.06771, 2017
732017
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Artikelen 1–20