2 papers
cs.LG2025
Why Federated Optimization Fails to Achieve Perfect Fitting? A Theoretical Perspective on Client-Side Optima
Zhongxiang Lei, Qi Yang, Ping Qiu +3
Federated optimization is a constrained form of distributed optimization that enables training a global model without directly sharing client data. Although existing algorithms can…
cs.CV2025
Transferable Class Statistics and Multi-scale Feature Approximation for 3D Object Detection
Hao Peng, Hong Sang, Yajing Ma +2
This paper investigates multi-scale feature approximation and transferable features for object detection from point clouds. Multi-scale features are critical for object detection f…