Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities
- Zheng Xu
- Peter Kairouz
- et al.
- 2023
- ICML 2023
Publications
1505 results for Machine Learning
Wrapping Up Offline RL as part of AutoMLPipeline Workflow
- 2023
- JuliaCon 2023
Unifying Molecular and Textual Representations via Multi-task Language Modelling
- Dimitrios Christofidellis
- Giorgio Giannone
- et al.
- 2023
- ICML 2023
PAC Generalization via Invariant Representations
- Advait Parulekar
- Karthikeyan Shanmugam
- et al.
- 2023
- ICML 2023
Data Efficient Neural Scaling Law via Model Reusing
- Peihao Wang
- Rameswar Panda
- et al.
- 2023
- ICML 2023
On Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
- Ching-yun Ko
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
Fast Feature Selection with Fairness Constraints
- Francesco Quinzan
- Rajiv Khanna
- et al.
- 2023
- ICML 2023
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
- Jiayi Wang
- Shiqiang Wang
- et al.
- 2023
- ICML 2023
Slicing Mutual Information Generalization Bounds for Neural Networks
- Kimia Nadjahi
- Kristjan Greenewald
- et al.
- 2023
- ICML 2023
Towards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information
- Divyansh Jhunjhunwala
- Shiqiang Wang
- et al.
- 2023
- ICML 2023