Federated Learning for Open Banking

24 August 2021

Papers citing "Federated Learning for Open Banking"

50 / 119 papers shown

Title
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye Yaxin Du Zhenyang Ni Siheng Chen Yanfeng Wang FedML 36 5 0 10 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 42 19 0 27 Nov 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 18 1 0 16 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Mingjia Shi Yuhao Zhou Kai Wang Huaizheng Zhang Shudong Huang Qing Ye Jiangcheng Lv 26 9 0 13 Oct 2023
Collaborative Distributed Machine Learning Sumit Kumar Jha Patrick Lincoln Sascha Rank Ali Sunyaev 30 1 0 28 Sep 2023
Understanding Deep Gradient Leakage via Inversion Influence Functions Haobo Zhang Junyuan Hong Yuyang Deng M. Mahdavi Jiayu Zhou FedML 67 6 0 22 Sep 2023
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration Xinghao Wu Xuefeng Liu Jianwei Niu Guogang Zhu Shaojie Tang FedML 21 17 0 20 Sep 2023
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization Qianyu Long Christos Anagnostopoulos S. P. Parambath Daning Bi AI4CE FedML 23 2 0 13 Sep 2023
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers Yulan Gao Zhaoxiang Hou Che-Sheng Yang Zengxiang Li Han Yu FedML 27 2 0 07 Aug 2023
Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space Guogang Zhu Xuefeng Liu Shaojie Tang Jianwei Niu Xinghao Wu Jiaxing Shen 32 2 0 26 Jul 2023
An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing Le Peng Gaoxiang Luo Sicheng Zhou Jiandong Chen Rui Zhang Zi-Cheng Xu Ju Sun 20 3 0 20 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 43 23 0 20 Jul 2023
Federated Generative Learning with Foundation Models Jie Zhang Xiaohua Qi Bo-Lu Zhao FedML 39 21 0 28 Jun 2023
A Distributed Computation Model Based on Federated Learning Integrates Heterogeneous models and Consortium Blockchain for Solving Time-Varying Problems Zhihao Hao Guanchen Wang Chunwei Tian Bob Zhang FedML 21 0 0 28 Jun 2023
FLGo: A Fully Customizable Federated Learning Platform Zhilin Wang Xiaoliang Fan Zhaopeng Peng Xueheng Li Ziqi Yang Mingkuan Feng Zhicheng Yang Xiao Liu Cheng-i Wang FedML 24 11 0 21 Jun 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
Towards Quantum Federated Learning Chao Ren Han Yu Rudai Yan Minrui Xu Yuan Shen Huihui Zhu Dusit Niyato Zhaoyang Dong L. Kwek FedML AI4CE 44 19 0 16 Jun 2023
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning Tanguy Marchand Regis Loeb Ulysse Marteau-Ferey Jean Ogier du Terrail Arthur Pignet FedML 42 4 0 13 Jun 2023
Improving Accelerated Federated Learning with Compression and Importance Sampling Michal Grudzieñ Grigory Malinovsky Peter Richtárik FedML 35 8 0 05 Jun 2023
Covert Communication Based on the Poisoning Attack in Federated Learning Junchuan Liang Rong Wang FedML 32 1 0 02 Jun 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning Yan Kang Hanlin Gu Xingxing Tang Yuanqin He Yuzhu Zhang Jinnan He Yuxing Han Lixin Fan Kai Chen Qiang Yang FedML 65 18 0 29 Apr 2023
Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack Hideaki Takahashi Jingjing Liu Yang Liu FedML 29 10 0 22 Apr 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 24 14 0 20 Apr 2023
Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing An-dong Li Milan Markovic P. Edwards Georgios Leontidis FedML 22 16 0 19 Apr 2023
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout Yuanyuan Chen Zichen Chen Sheng Guo Yansong Zhao Zelei Liu Pengcheng Wu Che-Sheng Yang Zengxiang Li Han Yu AI4CE 35 9 0 22 Feb 2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective Yash Travadi Le Peng Xuan Bi Ju Sun Mochen Yang FedML 29 3 0 17 Feb 2023
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data Shen Chen Guodong Long Tao Shen Jing Jiang AI4TS 25 36 0 22 Jan 2023
Dual Personalization on Federated Recommendation Chunxu Zhang Guodong Long Tianyi Zhou Peng Yan Zijian Zhang Chengqi Zhang Bo Yang FedML 22 29 0 16 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 31 11 0 09 Jan 2023
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods Zhuo Zhang Yuanhang Yang Yong Dai Lizhen Qu Zenglin Xu FedML 43 65 0 20 Dec 2022
Modeling Global Distribution for Federated Learning with Label Distribution Skew Tao Sheng Cheng Shen Yuan Liu Yeyu Ou Zhe Qu Jianxin Wang FedML 27 7 0 17 Dec 2022
PGFed: Personalize Each Client's Global Objective for Federated Learning Jun Luo Matías Mendieta Cheng Chen Shan-Jyun Wu FedML 35 9 0 02 Dec 2022
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 41 29 0 27 Nov 2022
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 57 161 0 23 Nov 2022
Find Your Friends: Personalized Federated Learning with the Right Collaborators Yi Sui Junfeng Wen Yenson Lau Brendan Leigh Ross Jesse C. Cresswell FedML 38 10 0 12 Oct 2022
TabLeak: Tabular Data Leakage in Federated Learning Mark Vero Mislav Balunović Dimitar I. Dimitrov Martin Vechev FedML 31 7 0 04 Oct 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan Guodong Long Jie Ma Lu Liu Tianyi Zhou Jing Jiang FedML 31 169 0 21 Sep 2022
FLVoogd: Robust And Privacy Preserving Federated Learning Yuhang Tian Rui Wang Yan Qiao E. Panaousis K. Liang FedML 26 4 0 24 Jun 2022
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency Jinyin Chen Mingjun Li Tao Liu Haibin Zheng Yao Cheng Changting Lin AAML 21 10 0 11 Jun 2022
Deep Leakage from Model in Federated Learning Zihao Zhao Mengen Luo Wenbo Ding FedML 18 14 0 10 Jun 2022
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels Zhuowei Wang Dinesh Manocha Guodong Long Bo Han Jing Jiang FedML 27 19 0 20 May 2022
Towards Privacy-Preserving and Verifiable Federated Matrix Factorization Xicheng Wan Yifeng Zheng Qun Li Anmin Fu Mang Su Yan Gao 16 9 0 04 Apr 2022
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage Zhuohang Li Jiaxin Zhang Lu Liu Jian-Dong Liu FedML 30 114 0 29 Mar 2022
Asynchronous Collaborative Learning Across Data Silos Tiffany Tuor J. Lockhart Daniele Magazzeni FedML 29 3 0 23 Mar 2022
Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs F. Wilhelmi Jernej Hribar Selim F. Yilmaz Emre Ozfatura Kerem Ozfatura ... Xiaoying Ye Lizhao You Yulin Shao Paolo Dini B. Bellalta 21 10 0 20 Mar 2022
A Framework for Verifiable and Auditable Federated Anomaly Detection G. Santin Inna Skarbovsky Fabiana Fournier Bruno Lepri FedML 18 1 0 15 Mar 2022
FedSyn: Synthetic Data Generation using Federated Learning Monik R Behera Sudhir Upadhyay S. Shetty S. Priyadarshini Palka Patel Ker Farn Lee FedML 25 13 0 11 Mar 2022
Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet Björn W. Schuller Ali Akman Yi-Fen Chang H. Coppock Alexander Gebhard Alexander Kathan Esther Rituerto-González Andreas Triantafyllopoulos Florian B. Pokorny 30 1 0 10 Mar 2022
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data Lianlian Jiang Yuexuan Wang Wenyi Zheng Chao Jin Zengxiang Li Sin Gee Teo AI4TS 25 10 0 08 Mar 2022
Personalized Federated Learning With Graph Fengwen Chen Guodong Long Zonghan Wu Tianyi Zhou Jing Jiang FedML 25 52 0 02 Mar 2022