Dan Alistarh

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Jerry LiMicrosoft ResearchVerified email at mit.edu
Milan VojnovicProfessor, Department of Statistics, LSEVerified email at lse.ac.uk
Rati GelashviliNoviVerified email at cs.toronto.edu
James AspnesYale UniversityVerified email at yale.edu
rachid guerraouiProfessor of Computer and Communication Systems, EPFLVerified email at epfl.ch
Seth GilbertNational University of SingaporeVerified email at comp.nus.edu.sg
Alexander MatveevResearch Scientist, MITVerified email at csail.mit.edu
corentin traversInstitut Polytechnique de BordeauxVerified email at labri.fr
Keren Censor-HillelDepartment of Computer Science, TechnionVerified email at cs.technion.ac.il
Ronald L. RivestMIT Institute ProfessorVerified email at mit.edu
Petr KuznetsovProfessor of Computer Science, Telecom Paris, Institut Polytechnique ParisVerified email at telecom-paris.fr
Hagit AttiyaDepartment of Computer Science, TechnionVerified email at cs.technion.ac.il
Morteza ZadimoghaddamResearch Scientist at GoogleVerified email at google.com
Jared SaiaUniversity of New MexicoVerified email at cs.unm.edu
Valerie KingProfessor of Computer Science, University of VictoriaVerified email at uvic.ca
Syed Kamran HaiderQualcommVerified email at uconn.edu
Michael A. BenderStony Brook UniversityVerified email at cs.stonybrook.edu
Patrick EugsterProf. Università della Svizzera italiana (USI), Adjunct Prof. Purdue University & TU DarmstadtVerified email at usi.ch
Maurice HerlihyAn Wang Professor of Computer Science, Brown UniversityVerified email at cs.brown.edu
William HasenplaughD. E. Shaw ResearchVerified email at mit.edu

Dan Alistarh

IST Austria

Verified email at ist.ac.at - Homepage

Distributed Computing Machine Learning Algorithms


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QSGD: Communication-efficient SGD via gradient quantization and encoding D Alistarh, D Grubic, J Li, R Tomioka, M Vojnovic Advances in Neural Information Processing Systems 30, 1709-1720, 2017	719*	2017
Model compression via distillation and quantization A Polino, R Pascanu, D Alistarh ICLR 2018, 2018	313	2018
The convergence of sparsified gradient methods D Alistarh, T Hoefler, M Johansson, S Khirirat, N Konstantinov, C Renggli arXiv preprint arXiv:1809.10505, 2018	198	2018
Zipml: Training linear models with end-to-end low precision, and a little bit of deep learning H Zhang, J Li, K Kara, D Alistarh, J Liu, C Zhang International Conference on Machine Learning, 4035-4043, 2017	159*	2017
Byzantine stochastic gradient descent D Alistarh, Z Allen-Zhu, J Li arXiv preprint arXiv:1803.08917, 2018	131	2018
The spraylist: A scalable relaxed priority queue D Alistarh, J Kopinsky, J Li, N Shavit Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of …, 2015	106	2015
Time-space trade-offs in population protocols D Alistarh, J Aspnes, D Eisenstat, R Gelashvili, RL Rivest Proceedings of the twenty-eighth annual ACM-SIAM symposium on discrete …, 2017	105	2017
Fast and exact majority in population protocols D Alistarh, R Gelashvili, M Vojnović Proceedings of the 2015 ACM Symposium on Principles of Distributed Computing …, 2015	101	2015
Polylogarithmic-time leader election in population protocols D Alistarh, R Gelashvili International Colloquium on Automata, Languages, and Programming, 479-491, 2015	87	2015
Space-optimal majority in population protocols D Alistarh, J Aspnes, R Gelashvili Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018	83	2018
Tight bounds for asynchronous renaming D Alistarh, J Aspnes, K Censor-Hillel, S Gilbert, R Guerraoui Journal of the ACM (JACM) 61 (3), 1-51, 2014	66*	2014
FPGA-accelerated dense linear machine learning: A precision-convergence trade-off K Kara, D Alistarh, G Alonso, O Mutlu, C Zhang 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017	63	2017
SparCML: High-performance sparse communication for machine learning C Renggli, S Ashkboos, M Aghagolzadeh, D Alistarh, T Hoefler Proceedings of the International Conference for High Performance Computing …, 2019	58	2019
Fast randomized test-and-set and renaming D Alistarh, H Attiya, S Gilbert, A Giurgiu, R Guerraoui International Symposium on Distributed Computing, 94-108, 2010	58	2010
Stacktrack: An automated transactional approach to concurrent memory reclamation D Alistarh, P Eugster, M Herlihy, A Matveev, N Shavit Proceedings of the Ninth European Conference on Computer Systems, 1-14, 2014	55	2014
Are lock-free concurrent algorithms practically wait-free? D Alistarh, K Censor-Hillel, N Shavit Journal of the ACM (JACM) 63 (4), 1-20, 2016	47	2016
Sub-logarithmic test-and-set against a weak adversary D Alistarh, J Aspnes International Symposium on Distributed Computing, 97-109, 2011	44	2011
Optimal-time adaptive strong renaming, with applications to counting D Alistarh, J Aspnes, K Censor-Hillel, S Gilbert, M Zadimoghaddam Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of …, 2011	40	2011
Threadscan: Automatic and scalable memory reclamation D Alistarh, W Leiserson, A Matveev, N Shavit ACM Transactions on Parallel Computing (TOPC) 4 (4), 1-18, 2018	39	2018
Recent algorithmic advances in population protocols D Alistarh, R Gelashvili ACM SIGACT News 49 (3), 63-73, 2018	28	2018

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