Adaptive energy efficient distributed VoIP load balancing in federated cloud infrastructure. - Andrei Tchernykh; Jorge M. Cortés-Mendoza; Johnatan E. Pecero; Pascal Bouvry; Dzmitry Kliazovich (CloudNet, 2014)

VoIP Traffic Modelling Using Gaussian Mixture Models, Gaussian Processes and Interactive Particle Algorithms. - Ana-Maria Simionovici; Alexandru-Adrian Tantar; Pascal Bouvry; Andrei Tchernykh; Jorge M. Cortés-Mendoza; Loic Didelot (GLOBECOM Workshops, 2015)

VoIP service model for multi-objective scheduling in cloud infrastructure. - Jorge M. Cortés-Mendoza; Andrei Tchernykh; Ana-Maria Simionovici; Pascal Bouvry; Sergio Nesmachnow; Bernabé Dorronsoro; Loic Didelot (Int. J. Metaheuristics, 2015)

Robust cloud VoIP scheduling under VMs startup time delay uncertainty. - Jorge M. Cortés-Mendoza; Andrei Tchernykh; Alexander Yu. Drozdov; Loic Didelot (UCC, 2016)

Biobjective VoIP Service Management in Cloud Infrastructure. - Jorge M. Cortés-Mendoza; Andrei Tchernykh; Fermin-Alberto Armenta-Cano; Pascal Bouvry; Alexander Yu. Drozdov; Loic Didelot (Sci. Program., 2016)

Experimental Analysis of Secret Sharing Schemes for Cloud Storage Based on RNS. - Vanessa Miranda-López; Andrei Tchernykh; Jorge M. Cortés-Mendoza; Mikhail G. Babenko; Gleb I. Radchenko; Sergio Nesmachnow; Zhihui Du (CARLA, 2017)

Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing. - Andrei Tchernykh; Mikhail Grigorevich Babenko; Nikolay Ivanovich Chervyakov; Jorge M. Cortés-Mendoza; Nikolay Nikolaevich Kucherov; Vanessa Miranda-López; Maxim Anatolievich Deryabin; Inna Dvoryaninova; Gleb I. Radchenko (DEXA Workshops, 2017)

Load-Aware Strategies for Cloud-Based VoIP Optimization with VM Startup Prediction. - Jorge M. Cortés-Mendoza; Andrei Tchernykh; Igor V. Bychkov; Alexander G. Feoktistov; Pascal Bouvry; Loic Didelot (IPDPS Workshops, 2017)

Min_c: Heterogeneous concentration policy for energy-aware scheduling of jobs with resource contention. - Fermin-Alberto Armenta-Cano; Andrei Tchernykh; Jorge M. Cortés-Mendoza; Ramin Yahyapour; Alexander Yu. Drozdov; Pascal Bouvry; Dzmitry Kliazovich; Arutyun Avetisyan; Sergio Nesmachnow (Program. Comput. Softw., 2017)

AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. - Andrei Tchernykh; Mikhail G. Babenko; Nikolay I. Chervyakov; Vanessa Miranda-López; Viktor Andreevich Kuchukov; Jorge M. Cortés-Mendoza; Maxim Anatolievich Deryabin; Nikolay Nikolaevich Kucherov; Gleb I. Radchenko; Arutyun Avetisyan (Int. J. Approx. Reason., 2018)

AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security. - Nikolay I. Chervyakov; Mikhail G. Babenko; Andrei Tchernykh; Nikolay Nikolaevich Kucherov; Vanessa Miranda-López; Jorge M. Cortés-Mendoza (Future Gener. Comput. Syst., 2019)

Configurable cost-quality optimization of cloud-based VoIP. - Andrei Tchernykh; Jorge M. Cortés-Mendoza; Igor V. Bychkov; Alexander G. Feoktistov; Loic Didelot; Pascal Bouvry; Gleb I. Radchenko; Kirill Borodulin (J. Parallel Distributed Comput., 2019)

A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption. - Luis Bernardo Pulido-Gaytan; Andrei Tchernykh; Jorge M. Cortés-Mendoza; Mikhail G. Babenko; Gleb I. Radchenko (CARLA, 2020)

Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System. - Jorge M. Cortés-Mendoza; Andrei Tchernykh; Mikhail G. Babenko; Luis Bernardo Pulido-Gaytan; Gleb I. Radchenko; Franck Leprévost; Xinheng Wang 001; Arutyun Avetisyan (RuSCDays, 2020)

LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments. - Jorge M. Cortés-Mendoza; Gleb I. Radchenko; Andrei Tchernykh; Bernardo Pulido-Gaytan; Mikhail G. Babenko; Arutyun Avetisyan; Pascal Bouvry; Albert Y. Zomaya (CCGRID, 2021)

RRNS Base Extension Error-Correcting Code for Performance Optimization of Scalable Reliable Distributed Cloud Data Storage. - Mikhail G. Babenko; Andrei Tchernykh; Luis Bernardo Pulido-Gaytan; Jorge M. Cortés-Mendoza; Egor M. Shiryaev; Elena Golimblevskaia; Arutyun Avetisyan; Sergio Nesmachnow (IPDPS Workshops, 2021)

Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network. - Andrei Tchernykh; Mikhail G. Babenko; Bernardo Pulido-Gaytan; Egor M. Shiryaev; Elena Golimblevskaia; Arutyun Avetisyan; Nguyen Viet Hung; Jorge M. Cortés-Mendoza (OLA, 2021)

Algorithm for Constructing Modular Projections for Correcting Multiple Errors Based on a Redundant Residue Number System Using Maximum Likelihood Decoding. - Mikhail G. Babenko; Anton S. Nazarov; Andrei Tchernykh; Luis Bernardo Pulido-Gaytan; Jorge M. Cortés-Mendoza; Irina Vashchenko (Program. Comput. Softw., 2021)

Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation. - Nikolay A. Vershkov; Mikhail G. Babenko; Andrei Tchernykh; Bernardo Pulido-Gaytan; Jorge M. Cortés-Mendoza; Viktor Andreevich Kuchukov; Nataliya Nikolaevna Kuchukova (Program. Comput. Softw., 2021)

Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities. - Luis Bernardo Pulido-Gaytan; Andrei Tchernykh; Jorge M. Cortés-Mendoza; Mikhail G. Babenko; Gleb I. Radchenko; Arutyun Avetisyan; Alexander Yu. Drozdov (Peer-to-Peer Netw. Appl., 2021)

An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges. - Andrei Tchernykh; Mikhail G. Babenko; Egor M. Shiriaev; Bernardo Pulido-Gaytan; Jorge M. Cortés-Mendoza; Arutyun Avetisyan; Alexander Yu. Drozdov; Viktor Andreevich Kuchukov (Comput., 2022)

Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. - Maria V. Valueva; Georgii V. Valuev; Mikhail G. Babenko; Andrei Tchernykh; Jorge M. Cortés-Mendoza (Program. Comput. Softw., 2022)

Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions. - Bernardo Pulido-Gaytan; Andrei Tchernykh; Mikhail G. Babenko; Jorge M. Cortés-Mendoza; Horacio González-Vélez; Arutyun Avetisyan (CCGridW, 2024)