2 papers
cs.CV2026
Unsupervised Multi-agent and Single-agent Perception from Cooperative Views
Haochen Yang, Baolu Li, Lei Li +5
The LiDAR-based multi-agent and single-agent perception has shown promising performance in environmental understanding for robots and automated vehicles. However, there is no exist…
cs.LG2025
PFedDST: Personalized Federated Learning with Decentralized Selection Training
Mengchen Fan, Keren Li, Tianyun Zhang +2
Distributed Learning (DL) enables the training of machine learning models across multiple devices, yet it faces challenges like non-IID data distributions and device capability dis…