Követés
Dimitris Papailiopoulos
Dimitris Papailiopoulos
Researcher at Microsoft Research & Assoc. Professor at University of Wisconsin
E-mail megerősítve itt: papail.io - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Federated Learning with Matched Averaging
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
ICLR 2020, 2020
12912020
Speeding up distributed machine learning using codes
K Lee, M Lam, R Pedarsani, D Papailiopoulos, K Ramchandran
IEEE Transactions on Information Theory, 2017
9792017
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
9292013
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
6632020
Locally repairable codes
DS Papailiopoulos, AG Dimakis
IEEE Transactions on Information Theory 60 (10), 5843-5855, 2014
6022014
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
4112018
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
L Chen, H Wang, Z Charles, D Papailiopoulos
International Conference on Machine Learning, 902-911, 2018
300*2018
Locality and availability in distributed storage
AS Rawat, DS Papailiopoulos, AG Dimakis, S Vishwanath
IEEE Transactions on Information Theory 62 (8), 4481-4493, 2016
2882016
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
2722016
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
2622017
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
2522012
Repair optimal erasure codes through hadamard designs
DS Papailiopoulos, AG Dimakis, VR Cadambe
IEEE transactions on information theory 59 (5), 3021-3037, 2013
2322013
Interference alignment as a rank constrained rank minimization
DS Papailiopoulos, AG Dimakis
IEEE Transactions on Signal Processing 60 (8), 4278-4288, 2012
2182012
Stability and generalization of learning algorithms that converge to global optima
Z Charles, D Papailiopoulos
International Conference on Machine Learning, 745-754, 2018
1782018
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
1602018
Transformers as Algorithms: Generalization and Stability in In-context Learning
Y Li, ME Ildiz, D Papailiopoulos, S Oymak
ICML 2023, 2023
150*2023
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
1332019
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
T Dinh, Y Zeng, R Zhang, Z Lin, S Rajput, M Gira, J Sohn, ...
NeurIPS 2022, 2022
1192022
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient
A Pensia, S Rajput, A Nagle, H Vishwakarma, D Papailiopoulos
Advances in Neural Information Processing Systems 33, 2020
1142020
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
1092015
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