Nanqing Dong

zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning

2024 · IEEE Transactions on Big Data

Federated learning (FL) is a machine learning paradigm, which enables multiple and decentralized clients to collaboratively train a model under the orchestration of a central aggregator. FL can be a scalable machine learning solution inbig …

ROGRAG: A Robustly Optimized GraphRAG Framework

2025 · arXiv (Cornell University)

Large language models (LLMs) commonly struggle with specialized or emerging topics which are rarely seen in the training corpus. Graph-based retrieval-augmented generation (GraphRAG) addresses this by structuring domain knowledge as a graph for dynamic retrieval. …