IEEE

Domain Knowledge Aggregation Model Based on Knowledge Graph and Large Language Model

Abstract: Traditional knowledge aggregation methods are mostly limited to the physical splicing of data and information resources, lacking deep semantic correlations. Domain knowledge aggregation has ...
IEEE

SAMK: Secure Aggregation for Federated Learning Under Multiple Keys With Low Communication Rounds

Abstract: While multi-key homomorphic encryption (MKHE) ensures privacy in federated learning (FL) by encrypting model updates, its requirement for aggregate ciphertext decryption and dropout handling ...
Deep Learning with Yacine on MSN

Uninformed search in AI using BFS – Java implementation tutorial

Learn how to implement an uninformed search algorithm using Breadth-First Search (BFS) in Java! This tutorial walks you through the concepts, code, and practical examples for AI problem solving. #Arti ...
GitHub

Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation

Abstract. Deep learning-based hyperspectral image (HSI) classification and object detection techniques have gained significant attention due to their vital role in image content analysis, ...