1. Diverse client selection for federated learning: submodularity and convergence analysis;Balakrishnan,2021
2. Towards federated learning at scale: system design;Bonawitz,2019
3. Practical secure aggregation for privacy-preserving machine learning;Bonawitz,2017
4. Tifl: a tier-based federated learning system;Chai,2020