IEEE

SVCA: Secure and Verifiable Chained Aggregation for Privacy-Preserving Federated Learning

Abstract: Federated learning (FL), as a distributed machine learning paradigm, enables multiple users to train machine learning models locally using individual data and then update global model in a ...
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 ...
GitHub

Eclipse LSP4J

The p2 Update sites listed above (since 0.13.0) contain a japicmp report against the last released version to make it easier to identify API changes. The Eclipse LSP4J project uses Semantic Versioning ...
IEEE

Point-Voxel and Bird-Eye-View Representation Aggregation Network for Single Stage 3D Object Detection

Abstract: 3D object detectors based on LiDAR have been extensively used in autonomous and robotic systems. Efficient voxel-based models must downsample their feature space to reduce computation, which ...
GitHub

Java Platform Extension for Visual Studio Code

See the VS Code Tips wiki for a quick primer on getting started with VS Code. Setting up the JDK The extension requires JDK 17 or newer to run. Optionally, set a different JDK to compile and run ...
IEEE

Efficient Semantic Segmentation of Transmission Line Corridor Point Clouds via Transformer With Vector Aggregation

Abstract: Ensuring precise segmentation of point clouds is essential for intelligent inspection in transmission line corridors. The massive scale, unordered distribution, and complex structures of ...
IEEE

Robust Secure Aggregation with Lightweight Verification for Federated Learning

Abstract: Verifiable secure aggregation (VSA) is a critical procedure in federated learning (FL), where secure aggregation achieves local gradients aggregation while data confidentiality is preserved, ...