FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning

12 April 2022

Jingren Zhou

Papers citing "FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning"

44 / 44 papers shown

Title
Federated Learning for Medical Image Classification: A Comprehensive Benchmark Zhekai Zhou Guibo Luo Mingzhi Chen Zhenyu Weng Yuesheng Zhu FedML 31 0 0 07 Apr 2025
Tree-based Models for Vertical Federated Learning: A Survey Bingchen Qian Yuexiang Xie Yaliang Li Bolin Ding Jingren Zhou FedML 61 0 0 03 Apr 2025
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning Dongping Liao X. Gao Yabo Xu Chengzhong Xu FedML VLM 42 0 0 28 Mar 2025
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks Jiarui Song Yunheng Shen Chengbin Hou Pengyu Wang Jinbao Wang Ke Tang Hairong Lv FedML 44 1 0 24 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 97 0 0 22 Jan 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 60 2 0 08 Jan 2025
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning Yuxin Yang Qiang Li Yuan Hong Binghui Wang AAML FedML 27 2 0 23 Oct 2024
FedGraph: A Research Library and Benchmark for Federated Graph Learning Yuhang Yao Yuan Li Xinyi Fan Junhao Li Kay Liu Weizhao Jin Srivatsan Ravi Philip S. Yu Philip S. Yu Carlee Joe-Wong FedML 37 0 0 08 Oct 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning Xunkai Li Bo Li Boyang Pang Guochen Yan Yeyu Yan Zening Li Zhengyu Wu Wentao Zhang Rong-Hua Li Guoren Wang FedML 33 1 0 29 Aug 2024
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation Luying Zhong Yueyang Pi Zheyi Chen Zhengxin Yu Wang Miao Xing Chen Geyong Min FedML 39 1 0 14 Jul 2024
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses Yuxin Yang Qiang Li Jinyuan Jia Yuan Hong Binghui Wang AAML FedML 69 11 0 12 Jul 2024
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning Zhuoning Guo Duanyi Yao Qiang Yang Hao Liu FedML 27 3 0 15 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 41 2 0 08 Jun 2024
FedSheafHN: Personalized Federated Learning on Graph-structured Data Wenfei Liang Yanan Zhao Rui She Yiming Li Wee Peng Tay FedML 56 0 0 25 May 2024
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework Jinyu Cai Yunhe Zhang Zhoumin Lu Wenzhong Guo See-kiong Ng FedML 39 2 0 20 Feb 2024
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models Zhenqing Ling Daoyuan Chen Liuyi Yao Yaliang Li Ying Shen FedML 47 12 0 08 Feb 2024
FedGT: Federated Node Classification with Scalable Graph Transformer Zaixin Zhang Qingyong Hu Yang Yu Weibo Gao Qi Liu FedML 46 2 0 26 Jan 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang Rui Ye Wenhao Wang Zuhong Liu Yuxiao Wang Yafei Wang Siheng Chen Yanfeng Wang 49 1 0 23 Jan 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
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 45 8 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 27 9 0 09 Jan 2024
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 36 19 0 20 Sep 2023
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning Weirui Kuang Bingchen Qian Zitao Li Daoyuan Chen Dawei Gao Xuchen Pan Yuexiang Xie Yaliang Li Bolin Ding Jingren Zhou FedML 21 113 0 01 Sep 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 39 9 0 10 Jul 2023
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network F. Liu Siqi Lai Yansong Ning Hao Liu AAML FedML 32 3 0 17 Jun 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 34 48 0 15 Jun 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 116 47 0 04 May 2023
FS-Real: Towards Real-World Cross-Device Federated Learning Daoyuan Chen Dawei Gao Yuexiang Xie Xuchen Pan Zitao Li Yaliang Li Bolin Ding Jingren Zhou 117 26 0 23 Mar 2023
Scalable Neural Network Training over Distributed Graphs Aashish Kolluri Sarthak Choudhary Bryan Hooi Prateek Saxena GNN 21 0 0 25 Feb 2023
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers Liekang Zeng Chong Yang Peng Huang Zhi Zhou Shuai Yu Xu Chen GNN 30 25 0 31 Oct 2022
Privacy-Preserved Neural Graph Similarity Learning Yupeng Hou Wayne Xin Zhao Yaliang Li Ji-Rong Wen 33 1 0 21 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
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
Personalized Subgraph Federated Learning Jinheon Baek Wonyong Jeong Jiongdao Jin Jaehong Yoon Sung Ju Hwang FedML 24 52 0 21 Jun 2022
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization Zhen Wang Weirui Kuang Ce Zhang Bolin Ding Yaliang Li FedML 31 13 0 08 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen Dawei Gao Weirui Kuang Yaliang Li Bolin Ding FedML 37 64 0 08 Jun 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 24 88 0 11 Apr 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
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 47 11 0 21 Apr 2021
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications Matthias Paulik M. Seigel Henry Mason Dominic Telaar Joris Kluivers ... Dominic Hughes O. Javidbakht Fei Dong Rehan Rishi Stanley Hung FedML 183 126 0 16 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 131 157 0 22 Jul 2020
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 103 153 0 23 Jul 2018