Dimitris Papailiopoulos

Cited by

	All	Since 2018
Citations	7270	5409
h-index	33	30
i10-index	58	51

1300

650

325

975

201120122013201420152016201720182019202020212022202329 57 144 247 348 457 499 497 627 859 1067 1281 1075

Public access

View all

17 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Alexandros G DimakisProfessor, ECE University of Texas at AustinVerified email at austin.utexas.edu
Kangwook LeeUniversity of Wisconsin-MadisonVerified email at wisc.edu
Hongyi WangSenior Researcher, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Shashank RajputResearch Scientist, MosaicML (Databricks)Verified email at databricks.com
Zachary CharlesResearch Scientist, GoogleVerified email at google.com
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyVerified email at eecs.berkeley.edu
Megasthenis AsterisUniversity of Texas at AustinVerified email at utexas.edu
Jy-yong SohnYonsei UniversityVerified email at yonsei.ac.kr
Kartik SreenivasanGraduate Student, University of Wisconsin-MadisonVerified email at wisc.edu
Maximilian LamHarvard UniversityVerified email at g.harvard.edu
Ramtin PedarsaniAssociate Professor, Electrical and Computer Engineering, UC Santa BarbaraVerified email at ece.ucsb.edu
Xinghao PanVerified email at eecs.berkeley.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
George KarystinosTechnical University of CreteVerified email at telecom.tuc.gr
Benjamin RechtProfessor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Ankit Singh RawatResearch Scientist, GoogleVerified email at google.com
Harit VishwakarmaGraduate Student, University of Wisconsin MadisonVerified email at cs.wisc.edu
Scott Chun-Yang ChenFacebook, CaltechVerified email at fb.com
Maheswaran (Mahesh) SathiamoorthyGoogle DeepMindVerified email at google.com
Dhruba BorthakurHDFS, RocksDB, RocksetVerified email at rockset.com

Dimitris Papailiopoulos

Associate Professor, University of Wisconsin-Madison

Verified email at papail.io - Homepage

Machine Learning Information Theory Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	884	2013
Speeding up distributed machine learning using codes K Lee, M Lam, R Pedarsani, D Papailiopoulos, K Ramchandran IEEE Transactions on Information Theory, 2017	843	2017
Federated Learning with Matched Averaging H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni ICLR 2020, 2020	765	2020
Locally repairable codes DS Papailiopoulos, AG Dimakis IEEE Transactions on Information Theory 60 (10), 5843-5855, 2014	555	2014
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	356	2020
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	326	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	263	2016
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients L Chen, H Wang, Z Charles, D Papailiopoulos International Conference on Machine Learning, 902-911, 2018	250*	2018
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	247	2012
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	239	2016
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	222	2017
Repair optimal erasure codes through hadamard designs DS Papailiopoulos, AG Dimakis, VR Cadambe IEEE transactions on information theory 59 (5), 3021-3037, 2013	215	2013
Interference alignment as a rank constrained rank minimization DS Papailiopoulos, AG Dimakis IEEE Transactions on Signal Processing 60 (8), 4278-4288, 2012	209	2012
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	136	2018
Stability and generalization of learning algorithms that converge to global optima Z Charles, D Papailiopoulos International Conference on Machine Learning, 745-754, 2018	134	2018
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	100	2015
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	96	2019
Provable Deterministic Leverage Score Sampling D Papailiopoulos, A Kyrillidis, C Boutsidis arXiv preprint arXiv:1404.1530, 2014	92	2014
Approximate Gradient Coding via Sparse Random Graphs Z Charles, D Papailiopoulos, J Ellenberg arXiv preprint arXiv:1711.06771, 2017	83	2017
Sparse PCA through low-rank approximations D Papailiopoulos, A Dimakis, S Korokythakis International Conference on Machine Learning, 747-755, 2013	82	2013

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors