- Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
- Free-rider Attacks on Model Aggregation in Federated Learning
- Shuffled Model of Differential Privacy in Federated Learning
- Federated Learning with Compression: Unified Analysis and Sharp Guarantees
- Towards Flexible Device Participation in Federated Learning
- Federated Multi-armed Bandits with Personalization