IEEE

A Graph Aggregation Convolution and Attention Mechanism Based Semantic Segmentation Method for Sparse Lidar Point Cloud Data

Abstract: In recent years, following the development of sensor and computer techniques, it is favored by many fields, i.e. automatic drive, intelligent home, etc., which the deep learning based ...
IEEE

Target Point Cloud Segmentation for Battery Swapping Robot Based on Multiscale Attention Aggregation

Abstract: Rapid and accurate segmentation of 3-D point clouds is critical for optimizing battery-swapping robots and ensuring precise assembly. To address the challenges of computational inefficiency ...
IEEE

In-Network Aggregation as a Generic Service for Distributed Applications

Abstract: The performance of distributed applications has long been hindered by network communication, which has emerged as a significant bottleneck. At the core of this issue, the many-to-one incast ...
Stevens Point Journal

Aquablue Opens New HQ as Global Aggregation Demand Drives 40% Growth

Aquablue opened its new headquarters in Morristown, New Jersey, having expanded by 40%+ in 2025, strengthening their leadership and operational capabilities. As enterprises scale and digital ...
IEEE

Byzantine Robust Aggregation in Federated Distillation with Adversaries

Abstract: Federated learning empowers privacy-preserving, multi-party secure model training without the necessity of sharing raw data. In recent years, knowledge distillation has emerged as a ...
IEEE

Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning

Abstract: Utilizing messages from teammates can improve coordination in cooperative multiagent reinforcement learning (MARL). Previous works typically combine raw messages of teammates with local ...
IEEE

Multithreading Heterogeneous Graph Aggregation

Abstract: Towards building online analytical services on big heterogeneous graphs, we study the problem of the multithreading graph aggregation. The purpose is to exploit the thread-level parallelism ...
IEEE

TDFANet: Encoding Sequential 4D Radar Point Clouds Using Trajectory-Guided Deformable Feature Aggregation for Place Recognition

Abstract: Place recognition is essential for achieving closedloop or global positioning in autonomous vehicles and mobile robots. Despite recent advancements in place recognition using 2D cameras or ...
IEEE

TBGA-Net: Trigonometric Bilinear Attention and Global-Aware Aggregation Network for Large-Scale 3D Point Cloud Segmentation

Abstract: The unstructured, unordered and inherent irregular sampling properties presents difficulties for accurate and efficient realizing semantic segmentation of large-scale 3D point cloud. The ...
IEEE

MTSNet: A Dual-Branch Geometric Feature Aggregation Network for Mapping Single Tree Stems From Terrestrial Laser Scanning Point Clouds

Abstract: Accurately mappingtree stems is essentialfor the analysis and estimation of tree parameters derived from terrestrial laser scanning (TLS) point clouds, including critical measurements such ...
GitHub

tutorial-aggregation.md

The aggregation pipeline is a powerful tool that allows developers to perform advanced data analysis and manipulation on their collections. The pipeline is a sequence of data processing operations, ...
IEEE

PriRoAgg: Achieving Robust Model Aggregation With Minimum Privacy Leakage for Federated Learning

Abstract: Federated learning (FL), as a promising machine learning paradigm for large-scale distributed data, faces two security challenges of privacy and robustness: the transmitted model updates ...