The virtual session will take place at 4 - 5:30 pm UTC on Dec. 9 (Friday). Please register your interest by the end of Dec. 8 (Thursday) by completing the form below.
The papers that will be presented are as follows:
- Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
- Certified Robustness in Federated Learning
- FLARE: Federated Learning from Simulation to Real-World
- Personalized Multi-tier Federated Learning
- Federated Fairness without Access to Demographics
- Conditional Moment Alignment for Improved Generalization in Federated Learning
- Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
