Data modeling

A Comprehensive Survey on Graph Neural Networks

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Learning: Challenges, Methods, and Future Directions

Membership Inference Attacks Against Machine Learning Models

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning