Bo Li

According to our database, Bo Li authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity.

Bo Li, Yasin Esfandiari, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian U. Stich

Trans. Mach. Learn. Res., 2024

An improved analysis of per-sample and per-update clipping in federated learning.

Bo Li, Xiaowen Jiang, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian U. Stich

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data.

Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Partial Variance Reduction improves Non-Convex Federated learning on heterogeneous data.

Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich

CoRR, 2022

Raman Spectrum Matching with Contrastive Representation Learning.

Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm

CoRR, 2022

Automated training of location-specific edge models for traffic counting.

Sam Leroux, Bo Li, Pieter Simoens

Comput. Electr. Eng., 2022

Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions.

Sam Leroux, Bo Li, Pieter Simoens

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Decoupled appearance and motion learning for efficient anomaly detection in surveillance video.

Bo Li, Sam Leroux, Pieter Simoens

Comput. Vis. Image Underst., 2021

2020

On uncertainty estimation in active learning for image segmentation.

Bo Li, Tommy Sonne Alstrøm

CoRR, 2020