Survival analysis is a subfield of statistics concerned with modeling the occurrence time of a
particular event of interest for a population. Survival analysis found widespread applications …

Survival analysis is a fundamental tool in medicine, modeling the time until an event of
interest occurs in a population. However, in real-world applications, survival data are often …

Federated Learning (FL) has emerged as a fundamental learning paradigm to harness
massive data scattered at geo-distributed edge devices in a privacy-preserving way. Given …

Survival analysis is an essential tool in healthcare for risk assessment, assisting clinicians in
their evaluation and decision making processes. Therefore, the importance of using …

Survival analysis is a crucial tool in healthcare, allowing us to understand and predict time-to-
event occurrences using statistical and machine-learning techniques. As deep learning …

Federated learning (FL) is a machine learning paradigm that aggregates knowledge and
utilizes computational power from multiple participants to train a global model. However, a …

In the field of federated learning, addressing non-independent and identically distributed
(non-iid) data remains a quintessential challenge for improving global model performance …

Introduction. In medicine and related industries, bioinspired approaches are used for the
survival analysis, among which the Cox regression model holds a specific place. The …

Введение. В медицине и связанных с нею отраслях для анализа выживаемости
используются биоинспирированные подходы, среди которых особое место занимает …