Subgraph Federated Learning with Missing Neighbor Generation

25 June 2021

Lichao Sun

Papers citing "Subgraph Federated Learning with Missing Neighbor Generation"

31 / 81 papers shown

Title
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices Qiying Pan Yifei Zhu Lingyang Chu FedML 15 9 0 01 Mar 2023
Scalable Neural Network Training over Distributed Graphs Aashish Kolluri Sarthak Choudhary Bryan Hooi Prateek Saxena GNN 16 0 0 25 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation Liang Qu Ningzhi Tang Ruiqi Zheng Quoc Viet Hung Nguyen Zi Huang Yuhui Shi Hongzhi Yin FedML 74 51 0 10 Feb 2023
FedSpectral+: Spectral Clustering using Federated Learning Janvi Thakkar Devvrat Joshi FedML 38 0 0 04 Feb 2023
Federated Learning over Coupled Graphs Runze Lei P. Wang Junzhou Zhao Lin Lan Jing Tao Chao Deng Junlan Feng Xidian Wang Xiaohong Guan FedML 16 14 0 26 Jan 2023
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 24 1 0 23 Dec 2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan Yixin Liu Guodong Long Jing Jiang Qinghua Lu Chengqi Zhang FedML 42 125 0 23 Nov 2022
Federated Graph Representation Learning using Self-Supervision Susheel Suresh Daniel Godbout Arko Provo Mukherjee Mayank Shrivastava Jennifer Neville Pan Li OOD FedML 38 2 0 27 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 21 26 0 24 Oct 2022
Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning Jonathan Scott Michelle Yeo Christoph H. Lampert FedML 29 0 0 12 Oct 2022
Federated Graph-based Networks with Shared Embedding Tianyi Yu Pei-Ci Lai Fei Teng FedML 31 3 0 03 Oct 2022
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs Taolin Zhang Chuan Chen Yaomin Chang Lin Shu Zibin Zheng FedML 31 14 0 29 Aug 2022
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive Learning Haoran Yang Xiangyu Zhao Muyang Li Hongxu Chen Guandong Xu FedML 30 2 0 24 Jul 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 36 35 0 24 Jul 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks Xiaoyuan Liu Tianneng Shi Chulin Xie Qinbin Li Kangping Hu ... The-Anh Vu-Le Zhen Huang Arash Nourian Bo-wen Li D. Song FedML 29 8 0 21 Jul 2022
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology Tuong Khanh Long Do Binh X. Nguyen Vuong Pham Toan V. Tran Erman Tjiputra Quang-Dieu Tran A. Nguyen FedML AI4CE 36 3 0 20 Jul 2022
Personalized Subgraph Federated Learning Jinheon Baek Wonyong Jeong Jiongdao Jin Jaehong Yoon Sung Ju Hwang FedML 24 51 0 21 Jun 2022
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging Ziyuan Yang Wenjun Xia Zexin Lu Yingyu Chen Xiaoxia Li Yi Zhang FedML OOD 16 28 0 08 Jun 2022
Spectral Maps for Learning on Subgraphs Marco Pegoraro R. Marin Arianna Rampini Simone Melzi Luca Cosmo Emanuele Rodolà 20 2 0 30 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting Mingyang Chen Wen Zhang Zhen Yao Xian-gan Chen Mengxiao Ding Fei Huang Huajun Chen FedML 20 26 0 10 May 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning Zhen Wang Weirui Kuang Yuexiang Xie Liuyi Yao Yaliang Li Bolin Ding Jingren Zhou FedML 13 77 0 12 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 21 88 0 11 Apr 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 24 63 0 02 Mar 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges R. Liu Pengwei Xing Zichao Deng Anran Li Cuntai Guan Han Yu FedML 48 81 0 15 Feb 2022
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks Yuhang Yao Weizhao Jin Srivatsan Ravi Carlee Joe-Wong GNN FedML 60 18 0 28 Jan 2022
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction Liang Peng Nan Wang Nicha Dvornek Xiaofeng Zhu Xiaoxiao Li FedML AI4CE 19 70 0 19 Dec 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Fei Wu Jingren Zhou Hongxia Yang 21 91 0 11 Nov 2021
Federated Graph Classification over Non-IID Graphs Han Xie Jing Ma Li Xiong Carl Yang FedML 6 152 0 25 Jun 2021
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks Chaoyang He Keshav Balasubramanian Emir Ceyani Carl Yang Han Xie ... Yu Rong P. Zhao Junzhou Huang M. Annavaram Salman Avestimehr FedML OOD 26 2 0 14 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017