The FacetedDBLP logo    Search for: in:

Disable automatic phrases ?     Syntactic query expansion: ?

Publications of H. Brendan McMahan Brendan McMahan ( http://dblp.L3S.de/Authors/H._Brendan_McMahan )

Publication years (Num. hits)
2003-2010 (17) 2011-2014 (16) 2015-2017 (16) 2018-2019 (14)
Publication types (Num. hits)
article(32) inproceedings(31)
Venues (Conferences, Journals, ...)
GrowBag graphs for keyword ? (Num. hits/coverage)

Group by:
No Growbag Graphs found.

Results
Found 64 publication records. Showing 63 according to the selection in the facets
Hits ? Authors Title Venue Year Link Author keywords
1Wennan Zhu, Peter Kairouz, Haicheng Sun, Brendan McMahan, Wei Li Federated Heavy Hitters Discovery with Differential Privacy. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
1Hubert Eichner, Tomer Koren, Brendan McMahan, Nathan Srebro, Kunal Talwar Semi-Cyclic Stochastic Gradient Descent. Search on Bibsonomy ICML The full citation details ... 2019 DBLP  BibTeX  RDF
1Om Thakkar, Galen Andrew, H. Brendan McMahan Differentially Private Learning with Adaptive Clipping. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
1Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, H. Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander Towards Federated Learning at Scale: System Design. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
1Hubert Eichner, Tomer Koren, H. Brendan McMahan, Nathan Srebro, Kunal Talwar Semi-Cyclic Stochastic Gradient Descent. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
1Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar 0001, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer 0001, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen 0001, Virginia Smith, Alex Smola, Dawn Song, Evan R. Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar SysML: The New Frontier of Machine Learning Systems. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
1Blake E. Woodworth, Jialei Wang, Brendan McMahan, Nathan Srebro Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
1Blake E. Woodworth, Jialei Wang, Adam D. Smith, Brendan McMahan, Nati Srebro Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization. Search on Bibsonomy NeurIPS The full citation details ... 2018 DBLP  BibTeX  RDF
1Naman Agarwal, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, Brendan McMahan cpSGD: Communication-efficient and differentially-private distributed SGD. Search on Bibsonomy NeurIPS The full citation details ... 2018 DBLP  BibTeX  RDF
1H. Brendan McMahan, Galen Andrew A General Approach to Adding Differential Privacy to Iterative Training Procedures. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
1Naman Agarwal, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, H. Brendan McMahan cpSGD: Communication-efficient and differentially-private distributed SGD. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
1Sebastian Caldas, Jakub Konecný, H. Brendan McMahan, Ameet Talwalkar Expanding the Reach of Federated Learning by Reducing Client Resource Requirements. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
1Sebastian Caldas, Peter Wu, Tian Li, Jakub Konecný, H. Brendan McMahan, Virginia Smith, Ameet Talwalkar LEAF: A Benchmark for Federated Settings. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
1H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang 0001 Learning Differentially Private Recurrent Language Models. Search on Bibsonomy ICLR (Poster) The full citation details ... 2018 DBLP  BibTeX  RDF
1Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agüera y Arcas Communication-Efficient Learning of Deep Networks from Decentralized Data. Search on Bibsonomy AISTATS The full citation details ... 2017 DBLP  BibTeX  RDF
1H. Brendan McMahan A survey of Algorithms and Analysis for Adaptive Online Learning. Search on Bibsonomy J. Mach. Learn. Res. The full citation details ... 2017 DBLP  BibTeX  RDF
1H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang 0001 Learning Differentially Private Language Models Without Losing Accuracy. Search on Bibsonomy CoRR The full citation details ... 2017 DBLP  BibTeX  RDF
1Martín Abadi, Úlfar Erlingsson, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang 0001 On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches. Search on Bibsonomy CoRR The full citation details ... 2017 DBLP  BibTeX  RDF
1Keith Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H. Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, Karn Seth Practical Secure Aggregation for Privacy Preserving Machine Learning. Search on Bibsonomy IACR Cryptology ePrint Archive The full citation details ... 2017 DBLP  BibTeX  RDF
1Keith Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H. Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, Karn Seth Practical Secure Aggregation for Privacy-Preserving Machine Learning. Search on Bibsonomy ACM Conference on Computer and Communications Security The full citation details ... 2017 DBLP  DOI  BibTeX  RDF
1Martín Abadi, Úlfar Erlingsson, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang 0001 On the Protection of Private Information in Machine Learning Systems: Two Recent Approches. Search on Bibsonomy CSF The full citation details ... 2017 DBLP  DOI  BibTeX  RDF
1Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, H. Brendan McMahan Distributed Mean Estimation with Limited Communication. Search on Bibsonomy ICML The full citation details ... 2017 DBLP  BibTeX  RDF
1Martín Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang 0001 Deep Learning with Differential Privacy. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
1Jakub Konecný, H. Brendan McMahan, Felix X. Yu, Peter Richtárik, Ananda Theertha Suresh, Dave Bacon Federated Learning: Strategies for Improving Communication Efficiency. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
1Ananda Theertha Suresh, Felix X. Yu, H. Brendan McMahan, Sanjiv Kumar Distributed Mean Estimation with Limited Communication. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
1Jakub Konecný, H. Brendan McMahan, Daniel Ramage, Peter Richtárik Federated Optimization: Distributed Machine Learning for On-Device Intelligence. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
1Keith Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H. Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, Karn Seth Practical Secure Aggregation for Federated Learning on User-Held Data. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
1H. Brendan McMahan, Eider Moore, Daniel Ramage, Blaise Agüera y Arcas Federated Learning of Deep Networks using Model Averaging. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
1Martín Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang 0001 Deep Learning with Differential Privacy. Search on Bibsonomy ACM Conference on Computer and Communications Security The full citation details ... 2016 DBLP  DOI  BibTeX  RDF
1Jakub Konecný, Brendan McMahan, Daniel Ramage Federated Optimization: Distributed Optimization Beyond the Datacenter. Search on Bibsonomy CoRR The full citation details ... 2015 DBLP  BibTeX  RDF
1H. Brendan McMahan Analysis Techniques for Adaptive Online Learning. Search on Bibsonomy CoRR The full citation details ... 2014 DBLP  BibTeX  RDF
1H. Brendan McMahan, Francesco Orabona Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations. Search on Bibsonomy CoRR The full citation details ... 2014 DBLP  BibTeX  RDF
1H. Brendan McMahan, Matthew J. Streeter Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning. Search on Bibsonomy NIPS The full citation details ... 2014 DBLP  BibTeX  RDF
1H. Brendan McMahan, Francesco Orabona Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations. Search on Bibsonomy COLT The full citation details ... 2014 DBLP  BibTeX  RDF
1H. Brendan McMahan Minimax Optimal Algorithms for Unconstrained Linear Optimization Search on Bibsonomy CoRR The full citation details ... 2013 DBLP  BibTeX  RDF
1Daniel Golovin, D. Sculley, H. Brendan McMahan, Michael Young Large-Scale Learning with Less RAM via Randomization Search on Bibsonomy CoRR The full citation details ... 2013 DBLP  BibTeX  RDF
1H. Brendan McMahan, Gary Holt, David Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Martin Wattenberg, Arnar Mar Hrafnkelsson, Tom Boulos, Jeremy Kubica Ad click prediction: a view from the trenches. Search on Bibsonomy KDD The full citation details ... 2013 DBLP  DOI  BibTeX  RDF
1John C. Duchi, Michael I. Jordan, H. Brendan McMahan Estimation, Optimization, and Parallelism when Data is Sparse. Search on Bibsonomy NIPS The full citation details ... 2013 DBLP  BibTeX  RDF
1H. Brendan McMahan, Jacob D. Abernethy Minimax Optimal Algorithms for Unconstrained Linear Optimization. Search on Bibsonomy NIPS The full citation details ... 2013 DBLP  BibTeX  RDF
1Daniel Golovin, D. Sculley, H. Brendan McMahan, Michael Young Large-Scale Learning with Less RAM via Randomization. Search on Bibsonomy ICML (2) The full citation details ... 2013 DBLP  BibTeX  RDF
1H. Brendan McMahan, Matthew J. Streeter Open Problem: Better Bounds for Online Logistic Regression. Search on Bibsonomy COLT The full citation details ... 2012 DBLP  BibTeX  RDF
1Matthew J. Streeter, H. Brendan McMahan No-Regret Algorithms for Unconstrained Online Convex Optimization Search on Bibsonomy CoRR The full citation details ... 2012 DBLP  BibTeX  RDF
1H. Brendan McMahan, Omkar Muralidharan On Calibrated Predictions for Auction Selection Mechanisms Search on Bibsonomy CoRR The full citation details ... 2012 DBLP  BibTeX  RDF
1Matthew J. Streeter, H. Brendan McMahan No-Regret Algorithms for Unconstrained Online Convex Optimization. Search on Bibsonomy NIPS The full citation details ... 2012 DBLP  BibTeX  RDF
1H. Brendan McMahan Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization. Search on Bibsonomy AISTATS The full citation details ... 2011 DBLP  BibTeX  RDF
1H. Brendan McMahan Discussion of "Contextual Bandit Algorithms with Supervised Learning Guarantees". Search on Bibsonomy AISTATS The full citation details ... 2011 DBLP  BibTeX  RDF
1H. Brendan McMahan, Matthew J. Streeter Adaptive Bound Optimization for Online Convex Optimization Search on Bibsonomy CoRR The full citation details ... 2010 DBLP  BibTeX  RDF
1Matthew J. Streeter, H. Brendan McMahan Less Regret via Online Conditioning Search on Bibsonomy CoRR The full citation details ... 2010 DBLP  BibTeX  RDF
1H. Brendan McMahan Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and Implicit Updates Search on Bibsonomy CoRR The full citation details ... 2010 DBLP  BibTeX  RDF
1H. Brendan McMahan, Matthew J. Streeter Adaptive Bound Optimization for Online Convex Optimization. Search on Bibsonomy COLT The full citation details ... 2010 DBLP  BibTeX  RDF
1Varun Kanade, H. Brendan McMahan, Brent Bryan Sleeping Experts and Bandits with Stochastic Action Availability and Adversarial Rewards. Search on Bibsonomy AISTATS The full citation details ... 2009 DBLP  BibTeX  RDF
1H. Brendan McMahan, Matthew J. Streeter Tighter Bounds for Multi-Armed Bandits with Expert Advice. Search on Bibsonomy COLT The full citation details ... 2009 DBLP  BibTeX  RDF
1H. Brendan McMahan, Geoffrey J. Gordon A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games. Search on Bibsonomy AISTATS The full citation details ... 2007 DBLP  BibTeX  RDF
1H. Brendan McMahan, Geoffrey J. Gordon A Unification of Extensive-Form Games and Markov Decision Processes. Search on Bibsonomy AAAI The full citation details ... 2007 DBLP  BibTeX  RDF
1Andreas Krause 0001, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta Selecting Observations against Adversarial Objectives. Search on Bibsonomy NIPS The full citation details ... 2007 DBLP  BibTeX  RDF
1Brent Bryan, H. Brendan McMahan, Chad M. Schafer, Jeff G. Schneider Efficiently computing minimax expected-size confidence regions. Search on Bibsonomy ICML The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
1Abraham Flaxman, Adam Tauman Kalai, H. Brendan McMahan Online convex optimization in the bandit setting: gradient descent without a gradient. Search on Bibsonomy SODA The full citation details ... 2005 DBLP  BibTeX  RDF
1H. Brendan McMahan, Geoffrey J. Gordon Fast Exact Planning in Markov Decision Processes. Search on Bibsonomy ICAPS The full citation details ... 2005 DBLP  BibTeX  RDF
1H. Brendan McMahan, Maxim Likhachev, Geoffrey J. Gordon Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees. Search on Bibsonomy ICML The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
1Abraham Flaxman, Adam Tauman Kalai, H. Brendan McMahan Online convex optimization in the bandit setting: gradient descent without a gradient Search on Bibsonomy CoRR The full citation details ... 2004 DBLP  BibTeX  RDF
1H. Brendan McMahan, Andrzej Proskurowski Multi-source spanning trees: algorithms for minimizing source eccentricities. Search on Bibsonomy Discrete Applied Mathematics The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
1H. Brendan McMahan, Avrim Blum Online Geometric Optimization in the Bandit Setting Against an Adaptive Adversary. Search on Bibsonomy COLT The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
1H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum Planning in the Presence of Cost Functions Controlled by an Adversary. Search on Bibsonomy ICML The full citation details ... 2003 DBLP  BibTeX  RDF
Displaying result #1 - #63 of 63 (100 per page; Change: )
Valid XHTML 1.1! Valid CSS! [Valid RSS]
Maintained by Jörg Diederich.
Based upon DBLP by Michael Ley.
open data data released under the ODC-BY 1.0 license