Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System

no code implementations • 24 Apr 2022 • Mohamed Ridha Znaidi, Gaurav Gupta, Paul Bogdan

Decentralized learning is an efficient emerging paradigm for boosting the computing capability of multiple bounded computing agents.

Federated Learning Privacy Preserving

Learning Information Propagation in the Dynamical Systems via Information Bottleneck Hierarchy

no code implementations • ICLR 2019 • Gaurav Gupta, Mohamed Ridha Znaidi, Paul Bogdan

Extracting relevant information, causally inferring and predicting the future states with high accuracy is a crucial task for modeling complex systems.

Causal Inference Clustering