Publications

Find out more about our publications at: Google Scholar.

• N. Dong, J. Sun, Z. Wang, S. Zhang, S. Zheng, "FLock: Defending Malicious Behaviors in Federated Learning with Blockchain" in NeurIPS 2022 Workshops on Decentralization and Trustworthy Machine Learning in Web3: Methodologies, Platforms, and Applications. Best Paper Runner-up Award. Available at: https://ai-secure.github.io/DMLW2022/assets/papers/5.pdf

• N. Dong, Z. Wang, J. Sun, M. Kampffmeyer, W. Knottenbelt and E. Xing, "Defending Against Poisoning Attacks in Federated Learning with Blockchain," in IEEE Transactions on Artificial Intelligence, https://ieeexplore.ieee.org/abstract/document/10471193

• Z. Wang, N. Dong, J. Sun, W. Knottenbelt and Y. Guo, "zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning," in IEEE Transactions on Big Data, https://ieeexplore.ieee.org/abstract/document/10535217

More papers to come