MindFlayer: Efficient Asynchronous Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times. - Artavazd Maranjyan; Omar Shaikh Omar; Peter Richtárik (CoRR, 2024)

Differentially Private Random Block Coordinate Descent. - Artavazd Maranjyan; Abdurakhmon Sadiev; Peter Richtárik (CoRR, 2024)

LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression. - Laurent Condat; Arto Maranjyan; Peter Richtárik (ICLR, 2025)

MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times. - Arto Maranjyan; Omar Shaikh Omar; Peter Richtárik (UAI, 2025)

GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity. - Arto Maranjyan; Mher Safaryan; Peter Richtárik (Trans. Mach. Learn. Res., 2025)

Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity. - Artavazd Maranjyan; Alexander Tyurin; Peter Richtárik (CoRR, 2025)

ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning. - Artavazd Maranjyan; El Mehdi Saad; Peter Richtárik; Francesco Orabona (CoRR, 2025)