Jorge M. Cortés-Mendoza
Orcid: 0000-0001-7209-8324Affiliations:
- South Ural State University, Chelyabinsk, Russia
- CICESE Research Center, Ensenada, Mexico (former)
According to our database1,
Jorge M. Cortés-Mendoza
authored at least 22 papers
between 2014 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2022
Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System.
Program. Comput. Softw., 2022
An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges.
Comput., 2022
2021
Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities.
Peer-to-Peer Netw. Appl., 2021
Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation.
Program. Comput. Softw., 2021
Algorithm for Constructing Modular Projections for Correcting Multiple Errors Based on a Redundant Residue Number System Using Maximum Likelihood Decoding.
Program. Comput. Softw., 2021
Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network.
Proceedings of the Optimization and Learning - 4th International Conference, 2021
RRNS Base Extension Error-Correcting Code for Performance Optimization of Scalable Reliable Distributed Cloud Data Storage.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021
LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
2020
Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System.
Proceedings of the Supercomputing, 2020
Proceedings of the High Performance Computing - 7th Latin American Conference, 2020
2019
J. Parallel Distributed Comput., 2019
AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security.
Future Gener. Comput. Syst., 2019
2018
Int. J. Approx. Reason., 2018
2017
Min_c: Heterogeneous concentration policy for energy-aware scheduling of jobs with resource contention.
Program. Comput. Softw., 2017
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017
Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing.
Proceedings of the 28th International Workshop on Database and Expert Systems Applications, 2017
Proceedings of the High Performance Computing - 4th Latin American Conference, 2017
2016
Proceedings of the 9th International Conference on Utility and Cloud Computing, 2016
2015
Int. J. Metaheuristics, 2015
VoIP Traffic Modelling Using Gaussian Mixture Models, Gaussian Processes and Interactive Particle Algorithms.
Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015
2014
Adaptive energy efficient distributed VoIP load balancing in federated cloud infrastructure.
Proceedings of the 3rd IEEE International Conference on Cloud Networking, 2014