Efficient Causal Graph Discovery Using Large Language Models

1 code implementation • 2 Feb 2024 • Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio

We propose a novel framework that leverages LLMs for full causal graph discovery.

SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation

1 code implementation • 19 Jan 2022 • Yash More, Prashanthi Ramachandran, Priyam Panda, Arup Mondal, Harpreet Virk, Debayan Gupta

Federated learning enables multiple data owners to jointly train a machine learning model without revealing their private datasets.

Federated Learning Privacy Preserving