3 papers
math.OC2026
Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation
Aleksandr Beznosikov, Georgiy Kormakov, Alexander Grigorievskiy +7
The objective of Vertical Federated Learning (VFL) is to collectively train a model using features available on different devices while sharing the same users. This paper focuses o…
q-bio.QM2024
ProtBoost: protein function prediction with Py-Boost and Graph Neural Networks -- CAFA5 top2 solution
Alexander Chervov, Anton Vakhrushev, Sergei Fironov +1
Predicting protein properties, functions and localizations are important tasks in bioinformatics. Recent progress in machine learning offers an opportunities for improving existing…
cs.IR2024
Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
Abdulaziz Samra, Evgeney Frolov, Alexey Vasilev +2
Data sparsity has been one of the long-standing problems for recommender systems. One of the solutions to mitigate this issue is to exploit knowledge available in other source doma…