| ML-assisted beam selection via digital twins for time-sensitive industrial IoT N Zeulin, A Ponomarenko-Timofeev, O Galinina, S Andreev IEEE Internet of Things Magazine 5 (1), 36-40, 2022 | 7 | 2022 |
| Dynamic network-assisted D2D-aided coded distributed learning N Zeulin, O Galinina, N Himayat, S Andreev, RW Heath IEEE Transactions on Communications, 2023 | 3 | 2023 |
| On performance of remainder codes in Manhattan metrics over AWGN channel with modulation 1024-QAM NV Zeulin, IA Pastushok, AM Turlikov, VA Davydov 2019 Wave Electronics and its Application in Information and …, 2019 | 2 | 2019 |
| Resource-Efficient Federated Hyperdimensional Computing N Zeulin, O Galinina, N Himayat, S Andreev MLSys 2023 Federated Learning Systems Workshop (FLSys), 1-8, 2023 | 1 | 2023 |
| Coding Scheme for High-Order QAM Modulations in the Manhattan Metric V Davydov, N Zeulin, I Pastushok, A Turlikov IEEE Communications Letters 24 (11), 2387-2391, 2020 | 1 | 2020 |
| Resource efficient federated edge learning with hyperdimensional computing N Zeulin, O Galinina, S Andreev, N Himayat US Patent App. 18/384,525, 2024 | | 2024 |
| Coded Distributed Gaussian Process Regression N Zeulin, O Galinina, N Himayat, S Andreev IEEE Communications Letters 27 (1), 372-376, 2023 | | 2023 |
| Online Distributed Learning Strategies for Collaborative Extended Reality Applications N Zeulin, O Galinina, S Andreev, RW Heath 2021 55th Asilomar Conference on Signals, Systems, and Computers, 727-731, 2021 | | 2021 |
Sergey AndreevTampere University, FinlandVerified email at tuni.fi
