3 papers
cs.IT2025
Fundamental Limits of Coded Caching with Fixed Subpacketization
Minquan Cheng, Yifei Huang, Youlong Wu +1
Coded caching is a promising technique to create coded multicast opportunities for cache-aided networks. By splitting each file into equal packets (i.e., the subpacketization l…
cs.LG2025
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks
Jinyan Wang, Liu Yang, Yuecen Wei +5
Graph Neural Network-based methods face privacy leakage risks due to the introduction of topological structures about the targets, which allows attackers to bypass the target's pri…
cs.LG2024
FedRGL: Robust Federated Graph Learning for Label Noise
De Li, Haodong Qian, Qiyu Li +4
Federated Graph Learning (FGL) is a distributed machine learning paradigm based on graph neural networks, enabling secure and collaborative modeling of local graph data among clien…