Graham Cormode

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S MuthukrishnanRutgers UnivVerified email at cs.rutgers.edu
Divesh SrivastavaAT&T Labs-ResearchVerified email at research.att.com
Minos GarofalakisDirector, IMSI, Athena RC; Professor, ECE, TU Crete; Senior Research Consultant, Huawei ISR/ERC.Verified email at athenarc.gr
Ke YiHKUSTVerified email at cse.ust.hk
Andrew McGregorUniversity of Massachusetts, AmherstVerified email at cs.umass.edu
Ting YuMohamed bin Zayed University of Artificial IntelligenceVerified email at acm.org
Amit ChakrabartiProfessor of Computer Science, Dartmouth CollegeVerified email at cs.dartmouth.edu
Justin ThalerGeorgetown UniversityVerified email at georgetown.edu
Marios HadjieleftheriouAT&T Labs - ResearchVerified email at research.att.com
Srikanta TirthapuraProfessor of Computer Engineering, Iowa State UniversityVerified email at iastate.edu
Akash BharadwajFacebook AIVerified email at fb.com
Feifei LiAlibaba Group/Alibaba CloudVerified email at cs.utah.edu
Entong ShenSnowflakeVerified email at snowflake.com
Rajesh ChitnisUniversity of BirminghamVerified email at bham.ac.uk
Xiaokui XiaoNational University of SingaporeVerified email at nus.edu.sg
Nick DuffieldDirector, Texas A&M Institute of Data Science; Royce E. Wisenbaker Professorship I in ECEVerified email at ece.tamu.edu
Carsten MapleProfessor of Cyber Systems Engineering, University of WarwickVerified email at warwick.ac.uk
Piotr IndykProfessor of Electrical Engineering and Computer Science, MITVerified email at mit.edu
MohammadTaghi HajiaghayiACM Fellow, Jack and Rita Minker Professor of Computer Science, University of Maryland, College ParkVerified email at cs.umd.edu
Alexandre SablayrollesMeta AIVerified email at meta.com

Graham Cormode

Meta AI, University of Warwick

Verified email at warwick.ac.uk - Homepage

Algorithms Data Analysis Hapax Legomenon Privacy


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Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and trends® in machine learning 14 (1–2), 1-210, 2021	7228	2021
An improved data stream summary: the count-min sketch and its applications G Cormode, S Muthukrishnan Journal of Algorithms 55 (1), 58-75, 2005	2577	2005
Key differences between Web 1.0 and Web 2.0 G Cormode, B Krishnamurthy First Monday, 2008	1543	2008
Privbayes: Private data release via bayesian networks J Zhang, G Cormode, CM Procopiuc, D Srivastava, X Xiao ACM Transactions on Database Systems (TODS) 42 (4), 1-41, 2017	823	2017
Node classification in social networks S Bhagat, G Cormode, S Muthukrishnan Social network data analytics, 115-148, 2011	800	2011
What's hot and what's not: tracking most frequent items dynamically G Cormode, S Muthukrishnan ACM Transactions on Database Systems (TODS) 30 (1), 249-278, 2005	733	2005
Synopses for massive data: Samples, histograms, wavelets, sketches G Cormode, M Garofalakis, PJ Haas, C Jermaine Foundations and Trends® in Databases 4 (1–3), 1-294, 2011	694	2011
Differentially Private Spatial Decompositions G Cormode, M Procopiuc, E Shen, D Srivastava, T Yu Arxiv preprint arXiv:1103.5170, 2011	510	2011
Finding frequent items in data streams G Cormode, M Hadjieleftheriou Proceedings of the VLDB Endowment 1 (2), 1530-1541, 2008	418	2008
Opacus: User-friendly differential privacy library in PyTorch A Yousefpour, I Shilov, A Sablayrolles, D Testuggine, K Prasad, M Malek, ... arXiv preprint arXiv:2109.12298, 2021	411	2021
Privacy at scale: Local differential privacy in practice G Cormode, S Jha, T Kulkarni, N Li, D Srivastava, T Wang Proceedings of the 2018 international conference on management of data, 1655 …, 2018	363	2018
An improved data stream summary: The count-min sketch and its applications G Cormode, S Muthukrishnan LATIN 2004: Theoretical Informatics: 6th Latin American Symposium, Buenos …, 2004	356	2004
What's new: Finding significant differences in network data streams G Cormode, S Muthukrishnan IEEE/ACM Transactions on Networking 13 (6), 1219-1232, 2005	344	2005
The string edit distance matching problem with moves G Cormode, S Muthukrishnan ACM Transactions on Algorithms (TALG) 3 (1), 1-19, 2007	342	2007
Practical Verified Computation with Streaming Interactive Proofs G Cormode, M Mitzenmacher, J Thaler Arxiv preprint arXiv:1105.2003, 2011	307	2011
Class-based graph anonymization for social network data S Bhagat, G Cormode, B Krishnamurthy, D Srivastava Proceedings of the VLDB Endowment 2 (1), 766-777, 2009	302	2009
Sketching streams through the net: Distributed approximate query tracking G Cormode, M Garofalakis Proceedings of the 31st international conference on Very large data bases, 13-24, 2005	295	2005
Conservative or liberal? Personalized differential privacy Z Jorgensen, T Yu, G Cormode 2015 IEEE 31St international conference on data engineering, 1023-1034, 2015	282	2015
DPT: differentially private trajectory synthesis using hierarchical reference systems X He, G Cormode, A Machanavajjhala, C Procopiuc, D Srivastava Proceedings of the VLDB Endowment 8 (11), 1154-1165, 2015	281	2015
Finding hierarchical heavy hitters in data streams G Cormode, F Korn, S Muthukrishnan, D Srivastava Proceedings 2003 VLDB Conference, 464-475, 2003	278	2003

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