Abstract: Federated tree-based models are popular in many real-world applications owing to their high accuracy and good interpretability. However, the classical synchronous method causes inefficient ...

Abstract: We consider the problem of learning the dynamics of a linear system when one has access to data generated by an auxiliary system that shares similar (but ...

REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.