2 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…
cs.LG2024
Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems
Anastasiia Zakharova, Dmitriy Alexandrov, Maria Khodorchenko +4
Machine learning (ML) models trained on datasets owned by different organizations and physically located in remote databases offer benefits in many real-world use cases. State regu…