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 ...
IEEE

Joint User Association and Resource Allocation for Multi-Stream Carrier Aggregation and Coordinated Multi-Point Enabled MIMO Networks

Abstract: In this letter, we consider a multi-stream carrier aggregation and coordinated multi-point enabled multi-input multi-output network, where each user can simultaneously associate with ...
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

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 ...
Stevens Point Journal

Windham, NH Launches Community Choice Aggregation for Residents and Small Businesses

AUBURN AND WINDHAM , NH, UNITED STATES, March 16, 2026 /EINPresswire.com/ — The Town of Windham, NH and Freedom Energy Logistics (Freedom Energy) announced that ...
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 ...
IEEE

WWAggr: A Window Wasserstein-Based Aggregation for Ensemble Change Point Detection

Abstract: Change Point Detection (CPD) aims to identify moments of abrupt distribution shifts in data streams. Real-world high-dimensional CPD remains challenging due to data pattern complexity and ...
IEEE

Cross-modality Feature Aggregation for Cross-domain Point Cloud Representation Learning

Abstract: Existing methods for learning 3D point cloud representation often use a single dataset-specific training and testing approach, leading to performance drops due to significant domain shifts ...
IEEE

Federated Aggregation With Interlayer Personalized Contribution: Preference-Based Optimization Between Performance and Privacy

Abstract: Currently, due to the different distribution of data for each user, many personalized federated learning (PFL) methods have emerged to meet the personalized needs of different users. However ...