Towards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information
- Divyansh Jhunjhunwala
- Shiqiang Wang
- et al.
- 2023
- ICML 2023
Workshop paper
Publications
44 results at ICML 2023
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
- Jiayi Wang
- Shiqiang Wang
- et al.
- 2023
- ICML 2023
Workshop paperOn Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
- Ching-yun Ko
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
Workshop paperIdentifiability Guarantees for Causal Disentanglement from Soft Interventions
- Jiaqi Zhang
- Chandler Squires
- et al.
- 2023
- ICML 2023
Workshop paperThe 2nd Workshop on New Frontiers in Adversarial Machine Learning
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
WorkshopProper Scoring Rules for Survival Analysis
- Hiroki Yanagisawa
- 2023
- ICML 2023
Conference paperLearning Prescriptive ReLU Networks
- Wei Sun
- Asterios Tsiourvas
- 2023
- ICML 2023
Conference paperBiases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
- Hiroshi Kajino
- Kohei Miyaguchi
- et al.
- 2023
- ICML 2023
Conference paperConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
- Wang Zhang
- Tsui-Wei Weng
- et al.
- 2023
- ICML 2023
Conference paperCompressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
- Yonggui Yan
- Jie Chen
- et al.
- 2023
- ICML 2023
Conference paper