Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized
Devices

Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices

1 March 2023

Papers citing "Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices"

9 / 9 papers shown

Title
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning Bin Li Xiaoye Miao Yongheng Shang Xinkui Zhao AAML 49 0 0 08 Jan 2025
Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs Longwen Wang Jianchun Liu Zhi Liu Jinyang Huang AI4CE FedML 23 0 0 21 Aug 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning Xunkai Li Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 34 17 0 22 Jan 2024
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning Ke Zhang Lichao Sun Bolin Ding Siu-Ming Yiu Carl Yang FedML 29 9 0 09 Jan 2024
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks He Zhang Xingliang Yuan Shirui Pan 53 11 0 30 Jan 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 40 226 0 15 Nov 2022
CrypTFlow2: Practical 2-Party Secure Inference Deevashwer Rathee Mayank Rathee Nishant Kumar Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 87 301 0 13 Oct 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 838 0 28 Sep 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 242 1,340 0 12 Feb 2018