Vertical federated learning (VFL) has emerged as a paradigm for collaborative model
estimation across multiple clients, each holding a distinct set of covariates. This paper …

Conventional federated learning algorithms train a single global model by leveraging all
participating clients' data. However, due to heterogeneity in client generative distributions …

Open domain event extraction aims to extract events from news clusters on the background
of non-predefined event types. However, such methods usually have insufficient feature …

In this work, we address the challenges of federated learning for structured probabilistic
models, aiming to expand the class of models and types of inference applicable in the …