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 ...
IEEE

Multipoint-to-Point All-Optical Channel Aggregation for Coherent Passive Optical Network Using Talbot-Based Processing and Power-Division Multiplexing

Abstract: We propose a multipoint-to-point all-optical channel aggregation scheme using Talbotbased processing and power-division multiplexing, enhancing scalability of uplink traffic in a coherent ...
IEEE

Transformer-based Geometric Point Cloud Compression with Local Neighbor Aggregation

Abstract: Recently, point cloud processing is becoming popular in AI-driven areas as 3D scanners are developing rapidly. However, this kind of data can have a massive file size, causing significant ...
IEEE

Aggregation and Comprehensive Assessment for Renewable Energy and Energy Storage Integrated into Power Grid

Abstract: As the integration of renewable energy sources (RES) such as wind and solar power into the power grid increases, the primary challenge lies in the high integration costs and the complexity ...
IEEE

Backward Attentive Fusing Network With Local Aggregation Classifier for 3D Point Cloud Semantic Segmentation

Abstract: In this paper, a Backward Attentive Fusing Network with Local Aggregation Classifier (BAF-LAC) is proposed to improve the performance of 3D point cloud semantic segmentation. It consists of ...
IEEE

Local Evidence Aggregation for Regression-Based Facial Point Detection

Abstract: We propose a new algorithm to detect facial points in frontal and near-frontal face images. It combines a regression-based approach with a probabilistic graphical model-based face shape ...
IEEE

Elastic Aggregation for Federated Optimization

Abstract: Federated learning enables the privacy-preserving training of neural network models using real-world data across distributed clients. FedAvg has become the preferred optimizer for federated ...