1. Practical secure aggregation for privacypreserving machine learning;A Kallista;Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, CCS 2017,2017
2. Covariance-aware private mean estimation without private covariance estimation;Gavin Brown;Advances in neural information processing systems,2021
3. Capc learning: Confidential and private collaborative learning;A Christopher;9th International Conference on Learning Representations, ICLR 2021, Virtual Event,2021
4. Addressing algorithmic disparity and performance inconsistency in federated learning;Sen Cui;Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021,2021