Federated Learning for Open Banking

Federated Learning for Open Banking

24 August 2021

Papers citing "Federated Learning for Open Banking"

19 / 119 papers shown

Title
Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications Yunseok Kwak Won Joon Yun Jae Pyoung Kim Hyunhee Cho Minseok Choi Soyi Jung Joongheon Kim 50 41 0 19 Feb 2022
Cross-Silo Heterogeneous Model Federated Multitask Learning Xingjian Cao Zonghang Li Gang Sun Hongfang Yu Mohsen Guizani FedML 22 10 0 17 Feb 2022
Proportional Fairness in Federated Learning Guojun Zhang Saber Malekmohammadi Xi Chen Yaoliang Yu FedML 25 24 0 03 Feb 2022
An Efficient and Robust System for Vertically Federated Random Forest Houpu Yao Jiazhou Wang Peng Dai Liefeng Bo Yanqing Chen FedML 82 12 0 26 Jan 2022
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks Zhenyuan Zhang Tao Shen Jie M. Zhang Chao-Xiang Wu FedML 15 13 0 10 Jan 2022
MarS-FL: Enabling Competitors to Collaborate in Federated Learning Xiaohu Wu Han Yu 13 20 0 26 Oct 2021
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning Jinyin Chen Guohan Huang Haibin Zheng Shanqing Yu Wenrong Jiang Chen Cui AAML FedML 79 32 0 13 Oct 2021
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions Thippa Reddy Gadekallu Viet Quoc Pham Thien Huynh-The S. Bhattacharya Praveen Kumar Reddy Maddikunta Madhusanka Liyanage FedML AI4CE 47 39 0 08 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health Guodong Long Tao Shen Yue Tan Leah Gerrard Allison Clarke Jing Jiang FedML 26 45 0 24 Aug 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization Guodong Long Ming Xie Tao Shen Dinesh Manocha Xianzhi Wang Jing Jiang Chengqi Zhang FedML 32 242 0 19 Aug 2021
A Vertical Federated Learning Framework for Horizontally Partitioned Labels Wensheng Xia Ying Li Lan Zhang Zhonghai Wu Xiaoyong Yuan FedML 27 11 0 18 Jun 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 27 54 0 07 May 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 153 459 0 01 May 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 37 76 0 25 Feb 2021
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity Zhuoning Yuan Zhishuai Guo Yi Tian Xu Yiming Ying Tianbao Yang FedML 13 35 0 09 Feb 2021
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges Zhaohua Zheng Yize Zhou Yilong Sun Zhang Wang Boyi Liu Keqiu Li 20 102 0 02 Feb 2021
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 33 17 0 02 Dec 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 542 0 30 Mar 2020