Hierarchical Federated Learning with Multi-Timescale Gradient Correction
- Wenzhi Fang
- Dong-jun Han
- et al.
- 2024
- NeurIPS 2024
Conference paper
Publications
1650 results for Machine Learning
Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
Conference paperShuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
- Quoc Tran-Dinh
- Trang H. Tran
- et al.
- 2024
- NeurIPS 2024
Conference paperNeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
- Hao-lun Sun
- Lei Hsiung
- et al.
- 2024
- NeurIPS 2024
Conference paperProbabilistic Federated Prompt-Tuning in Data Imbalance Settings
- Pei-yau Weng
- Minh Hoang
- et al.
- 2024
- NeurIPS 2024
Conference paperWeak Supervision Performance Evaluation via Partial Identification
- Felipe Maia Polo
- Subha Maity
- et al.
- 2024
- NeurIPS 2024
Conference paperAbstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
- Yunshi Wen
- Tengfei Ma
- et al.
- 2024
- NeurIPS 2024
Conference paperGraph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
- Giangiacomo Mercatali
- Andre Freitas
- et al.
- 2024
- NeurIPS 2024
Conference paperDense Associative Memory Through the Lens of Random Features
- Benjamin Hoover
- Duen Horng Chau
- et al.
- 2024
- NeurIPS 2024
Conference paperGeometry of naturalistic object representations in recurrent neural network models of working memory
- Xiaoxuan Lei
- Taku Ito
- et al.
- 2024
- NeurIPS 2024
Conference paper