2 papers
cs.LG2025
-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning
Rongwei Lu, Yutong Jiang, Jinrui Zhang +4
Gradient compression can effectively alleviate communication bottlenecks in Federated Learning (FL). Contemporary state-of-the-art sparse compressors, such as Top-, exhibit high…
cs.CR2024
WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking
Yuqi Tan, Xiang Liu, Shuzhao Xie +3
3D Gaussian Splatting (3DGS) has emerged as a pivotal technique for 3D scene representation, providing rapid rendering speeds and high fidelity. As 3DGS gains prominence, safeguard…