Cyclic Stochastic Approximation with Disturbance on Input in the Parameter Tracking Problem Based on a Multiagent Algorithm. - Oleg N. Granichin; V. A. Erofeeva (Autom. Remote. Control., 2018)

Distributed Tracking via Simultaneous Perturbation Stochastic Approximation-based Consensus Algorithm. - Victoria Erofeeva; Oleg N. Granichin; Natalia O. Amelina; Yury Ivanskiy; Yuming Jiang 001 (CDC, 2019)

Sensor Selection under Unknown but Bounded Disturbances in Multi- Target Tracking Problem. - Victoria Erofeeva; Oleg N. Granichin; Olga Granichina; Anna Sergeenko; Sergey Trapitsin (MED, 2019)

Weighted SPSA-based Consensus Algorithm for Distributed Cooperative Target Tracking. - Victoria Erofeeva; Oleg N. Granichin; Olga Granichina; Anton V. Proskurnikov; Anna Sergeenko (ECC, 2021)

Non-Technical Losses Detection in Distribution Grids using LSTM Networks. - Soodanbek Kasymaliev; Victoria Erofeeva; David Pozo (ISGT-Europe, 2021)

Simultaneous Perturbation Stochastic Approximation-Based Consensus for Tracking Under Unknown-But-Bounded Disturbances. - Oleg N. Granichin; Victoria Erofeeva; Yury Ivanskiy; Yuming Jiang 001 (IEEE Trans. Autom. Control., 2021)

Accelerated Simultaneous Perturbation Stochastic Approximation for Tracking Under Unknown-but-Bounded Disturbances. - Victoria Erofeeva; Oleg N. Granichin; Munira Tursunova; Anna Sergeenko; Yuming Jiang 001 (ACC, 2022)

Distributed Load Balancing Based on Modified Local Voting Protocol. - Elena Borisoglebskaya; Victoria Erofeeva; Oleg N. Granichin; Yury Ivanskiy; Natalia Kizhaeva (CoDIT, 2023)

Improved Simultaneous Perturbation Stochastic Approximation-based Consensus Algorithm for Tracking. - Victoria Erofeeva; Oleg N. Granichin (MED, 2023)

Distributed State Estimation for Multi-Area Data Reconciliation. - Victoria Erofeeva; Sergei Parsegov; Pavel Osinenko; Shyam Kamal (MED, 2023)

Accelerated Decentralized Load Balancing in Multi-Agent Networks. - Victoria Erofeeva; Oleg N. Granichin; Elena Volodina (IEEE Access, 2024)

Meso-scale coalitional control in large-scale networks. - Victoria Erofeeva; Oleg N. Granichin; Denis Uzhva (Autom., 2025)

A novel sparsity-based deterministic method for Shapley value approximation, with applications. - Victoria Erofeeva; Sergei Parsegov (Inf. Sci., 2025)