Found 85 Documents (Results 1–85)
Scalable distributed algorithms for size-constrained submodular maximization in the MapReduce and adaptive complexity models. (English) Zbl 07907418
A ring-based distributed algorithm for learning high-dimensional Bayesian networks. (English) Zbl 07897220
Bouraoui, Zied (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 17th European conference, ECSQARU 2023, Arras, France, September 19–22, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 14294, 123-135 (2024).
MSC:
68T37
Digital protection and innovative development path of red culture resources based on distributed machine learning supported by intelligent information. (English) Zbl 07896100
MSC:
68Txx
A Chebyshev neural network-based numerical scheme to solve distributed-order fractional differential equations. (English) Zbl 07853330
Privacy-preserving and lossless distributed estimation of high-dimensional generalized additive mixed models. (English) Zbl 1529.62015
Exploring hierarchical forecasting of data popularity in high-energy physics experiments. (English) Zbl 1536.62091
Distributed energy resources flexibility as volumetric options on electricity. (English) Zbl 1530.91451
Nonlinear reduced-order modeling for three-dimensional turbulent flow by large-scale machine learning. (English) Zbl 07761056
MSC:
76-XX
A scalable distributed dynamical systems approach to learn the strongly connected components and diameter of networks. (English) Zbl 07744622
Cooperative control of uncertain multiagent systems via distributed Gaussian processes. (English) Zbl 07744621
A machine-learning-accelerated distributed LBFGS method for field development optimization: algorithm, validation, and applications. (English) Zbl 1520.86001
Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization. (English) Zbl 1516.90060
Data science and predictive analytics. Biomedical and health applications using R. 2nd revised edition. (English) Zbl 1542.68001
The Springer Series in Applied Machine Learning. Cham: Springer (ISBN 978-3-031-17482-7/hbk; 978-3-031-17485-8/pbk; 978-3-031-17483-4/ebook). xxxiv, 918 p. (2023).
Reviewer: Irina Ioana Mohorianu (Oxford)
Arbitrarily accurate aggregation scheme for Byzantine SGD. (English) Zbl 07832745
Bramas, Quentin (ed.) et al., 25th international conference on principles of distributed systems, OPODIS 2021, Strasbourg, France, December 13–15, 2021. Wadern: Schloss Dagstuhl – Leibniz Zentrum für Informatik. LIPIcs – Leibniz Int. Proc. Inform. 217, Article 4, 17 p. (2022).
Local differential privacy for federated learning. (English) Zbl 1523.68051
Atluri, Vijayalakshmi (ed.) et al., Computer security – ESORICS 2022. 27th European symposium on research in computer security, Copenhagen, Denmark, September 26–30, 2022. Proceedings. Part I. Cham: Springer. Lect. Notes Comput. Sci. 13554, 195-216 (2022).
SAMBA: a generic framework for secure federated multi-armed bandits. (English) Zbl 07527539
MSC:
68Txx
Distributed optimization based on gradient tracking revisited: enhancing convergence rate via surrogation. (English) Zbl 07510407
Differential privacy and Byzantine resilience in SGD: do they add up? (English) Zbl 07824217
Korhonen, Janne H. (ed.), Proceedings of the 40th ACM symposium on principles of distributed computing, PODC ’21, virtual event, Italy, July 26–30, 2021. New York, NY: Association for Computing Machinery (ACM). 391-401 (2021).
Efficient and systematic partitioning of large and deep neural networks for parallelization. (English) Zbl 1512.68301
Sousa, Leonel (ed.) et al., Euro-Par 2021: parallel processing. 27th international conference on parallel and distributed computing, Lisbon, Portugal, September 1–3, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12820, 201-216 (2021).
An accelerated communication-efficient primal-dual optimization framework for structured machine learning. (English) Zbl 1464.90059
MSC:
90C25
Privacy-preserving distributed machine learning based on secret sharing. (English) Zbl 1543.68109
Zhou, Jianying (ed.) et al., Information and communications security. 21st international conference, ICICS 2019, Beijing, China, December 15–17, 2019. Revised selected papers. Cham: Springer. Lect. Notes Comput. Sci. 11999, 684-702 (2020).
Snap ML – accelerated machine learning for big data (keynote abstract). (English) Zbl 07650853
Felber, Pascal (ed.) et al., 23rd international conference on principles of distributed systems, OPODIS 2019, Neuchâtel, Switzerland, December 17–19, 2019. Wadern: Schloss Dagstuhl – Leibniz Zentrum für Informatik. LIPIcs – Leibniz Int. Proc. Inform. 153, Article 3, 1 p. (2020).
Modern applications of game-theoretic principles (Invited Paper). (English) Zbl 07559460
Konnov, Igor (ed.) et al., 31st international conference on concurrency theory. CONCUR 2020, September 1–4, 2020, Vienna, Austria, virtual conference. Proceedings. Wadern: Schloss Dagstuhl – Leibniz Zentrum für Informatik. LIPIcs – Leibniz Int. Proc. Inform. 171, Article 4, 9 p. (2020).
MSC:
68Q85
Averaging versus voting: a comparative study of strategies for distributed classification. (English) Zbl 1486.68161
Group stochastic gradient descent: a tradeoff between straggler and staleness. (Chinese. English summary) Zbl 1488.68044
Parameterized synthesis with safety properties. (English) Zbl 1476.68154
Oliveira, Bruno C. d. S. (ed.), Programming languages and systems. 18th Asian symposium, APLAS 2020, Fukuoka, Japan, November 30 – December 2, 2020. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12470, 273-292 (2020).
Genuinely distributed Byzantine machine learning. (English) Zbl 07323210
Cachin, Christian (ed.) et al., Proceedings of the 39th ACM symposium on principles of distributed computing, PODC ’20, virtual event, August 3–7, 2020. New York, NY: Association for Computing Machinery (ACM). 355-364 (2020).
Distributed cooperative learning over time-varying random networks using a gossip-based communication protocol. (English) Zbl 1452.68157
Graph-dependent implicit regularisation for distributed stochastic subgradient descent. (English) Zbl 1498.68261
Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme. (English) Zbl 1434.68476
An uncertain parallel machine problem with deterioration and learning effect. (English) Zbl 1438.90135
Distributed Bayesian machine learning procedures. (English. Russian original) Zbl 1443.68141
Cybern. Syst. Anal. 55, No. 3, 456-461 (2019); translation from Kibern. Sist. Anal. 2019, No. 3, 129-135 (2019).
MSC:
68T05
A brief tutorial on distributed and concurrent machine learning. (English) Zbl 1428.68228
Proceedings of the 37th ACM symposium on principles of distributed computing, PODC ’18, Egham, UK, July 23–27, 2018. New York, NY: Association for Computing Machinery (ACM). 487-488 (2018).
Advances in intelligent systems and interactive applications. Proceedings of the 2nd international conference on intelligent and interactive systems and applications (IISA2017), Beijing, China, June 17–18, 2017. (English) Zbl 1400.68038
Advances in Intelligent Systems and Computing 686. Cham: Springer (ISBN 978-3-319-69095-7/pbk; 978-3-319-69096-4/ebook). xviii, 895 p. (2018).
CoCoA: a general framework for communication-efficient distributed optimization. (English) Zbl 1473.68167
Distributed proximal gradient algorithm for partially asynchronous computer clusters. (English) Zbl 1455.90138
Reviewer: Ctirad Matonoha (Praha)
Survey on parallel and distributed optimization algorithms for scalable machine learning. (Chinese. English summary) Zbl 1413.68089
Distributed classification learning based on nonlinear vector support machines for switching networks. (English) Zbl 1424.68131
Distributed computing in big data analytics. Concepts, technologies and applications. (English) Zbl 1403.68013
Scalable Computing and Communications. Cham: Springer (ISBN 978-3-319-59833-8/hbk; 978-3-319-59834-5/ebook). x, 162 p. (2017).
A study on the error of distributed algorithms for big data classification with SVM. (English) Zbl 1418.68181
Brief announcement: Byzantine-tolerant machine learning. (English) Zbl 1380.68330
Proceedings of the 2017 ACM symposium on principles of distributed computing, PODC ’17, Washington, DC, USA, July 25–27, 2017. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-4992-5). 455-457 (2017).
Parallel algorithms for nearest neighbor search problems in high dimensions. (English) Zbl 1349.68231
Distributed optimal dispatch of virtual power plant based on ELM transformation. (English) Zbl 1292.90128
Generalized net model for parallel optimization of hidden units in neural networks with radial basis functions. (English) Zbl 1313.65328
Reviewer: Angela Slavova (Sofia)
On the choice of kernel and labelled data in semi-supervised learning methods. (English) Zbl 1342.68265
Bonato, Anthony (ed.) et al., Algorithms and models for the web graph. 10th international workshop, WAW 2013, Cambridge, MA, USA, December 14–15, 2013. Proceedings. Berlin: Springer (ISBN 978-3-319-03535-2/pbk). Lecture Notes in Computer Science 8305, 56-67 (2013).
Hope and fear for discriminative training of statistical translation models. (English) Zbl 1283.68285
Visual analysis of behaviour. From pixels to semantics. (English) Zbl 1238.68171
New York, NY: Springer (ISBN 978-0-85729-669-6/hbk; 978-0-85729-670-2/ebook). xix, 356 p. (2011).
Reviewer: Patrizio Frosini (Bologna)
Decision tree induction methods for distributed environment. (English) Zbl 1187.68083
Cyran, Krzysztof A. (ed.) et al., Man-machine interactions. Papers based on the presentations at the international conference (ICMMI 2009), Kocierz Pass, Poland, September 25–27, 2009. Berlin: Springer (ISBN 978-3-642-00562-6/pbk; 978-3-642-00563-3/ebook). Advances in Intelligent and Soft Computing 59, 201-208 (2009).
An evolutionary approach for achieving scalability with general regression neural networks. (English) Zbl 1191.68491
DDoS attack detection algorithm using IP address features. (English) Zbl 1248.68401
Deng, Xiaotie (ed.) et al., Frontiers in algorithmics. Third international workshop, FAW 2009, Hefei, China, June 20–23, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-02269-2/pbk). Lecture Notes in Computer Science 5598, 207-215 (2009).
Parallel training strategy based on support vector machine. (Chinese. English summary) Zbl 1150.68386
The Rademacher complexity of linear transformation classes. (English) Zbl 1147.68542
Lugosi, Gabor (ed.) et al., Learning theory. 19th annual conference on learning theory, COLT 2006, Pittsburgh, PA, USA, June 22–25, 2006. Proceedings. Berlin: Springer (ISBN 978-3-540-35294-5/pbk). Lecture Notes in Computer Science 4005. Lecture Notes in Artificial Intelligence, 65-78 (2006).
A new accelerating algoritm for multi-agent reinforement learning. (English) Zbl 1105.68407
MSC:
68T05
Mathematical techniques for analyzing concurrent and probabilistic systems. (English) Zbl 1069.68074
CRM Monograph Series 23. Providence, RI: American Mathematical Society (AMS) (ISBN 0-8218-3571-8/hbk). viii, 215 p. (2004).
Reviewer: Alessandro Duci (Bergamo)
Solving the nonlinear least squares problem using artificial neural networks. (Ukrainian. English summary) Zbl 1067.68125
MSC:
68T05
A distributed problem-solving approach for owner-contractor prequalification. (English) Zbl 0899.90118
Distributed artificial intelligence meets machine learning. Learning in multi-agent environments. ECAI ’96 workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS ’96 workshop LIOME, Kyoto, Japan, December 10, 1996. Selected papers. (English) Zbl 0899.68070
Lecture Notes in Computer Science 1221. Lecture Notes in Artificial Intelligence. Berlin: Springer. x, 294 p. (1997).
Reviewer: U.Hahn (Freiburg i.Br.)
Adaption and learning in multi-agent systems. IJCAI ’95 workshop, Montréal, Canada, August 21, 1995. Proceedings. (English) Zbl 0851.68093
Lecture Notes in Computer Science 1042. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. x, 238 p. (1996).
Reviewer: U.Hahn (Freiburg i.Br.)
Parallel genetic algorithms and neural networks as learning machines. (English) Zbl 0798.68142
Evans, D. J. (ed.) et al., Parallel computing ’91. Proceedings of the international conference, held in London, GB, 3-6 September 1991. Amsterdam etc.: North-Holland. Adv. Parallel Comput. 4, 91-103 (1992).
An empirical comparison of pattern recognition, neural nets, and machine learning classification methods. (English) Zbl 0709.68076
IJCAI 89, Proc. Int. Conf., Detroit, MI/USA 1989, 781-787 (1989).
Reviewer: N.Curteanu
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