Federated Learning for Open Banking

24 August 2021

Papers citing "Federated Learning for Open Banking"

50 / 119 papers shown

Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato Choong Seon Hong AI4CE 31 0 0 11 May 2025
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications Haoyang Li Jie Xu Kyra Gan Fei Wang Chengxi Zang FedML CML 33 0 0 04 May 2025
Financial Data Analysis with Robust Federated Logistic Regression Kun Yang Nikhil Krishnan Sanjeev Kulkarni FedML 67 0 0 28 Apr 2025
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence Edward Collins Michel Wang FedML 31 0 0 24 Apr 2025
CARE: Compatibility-Aware Incentive Mechanisms for Federated Learning with Budgeted Requesters Xiang Liu Hau Chan Minming Li Xianlong Zeng Chenchen Fu Weiwei Wu FedML 31 0 0 22 Apr 2025
Tree-based Models for Vertical Federated Learning: A Survey Bingchen Qian Yuexiang Xie Yaliang Li Bolin Ding Jingren Zhou FedML 56 0 0 03 Apr 2025
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection Diego Cajaraville-Aboy Marta Moure-Garrido Carlos Beis-Penedo C. García-Rubio R. Redondo Celeste Campo Ana Fernández Vilas M. Fernández-Veiga 36 0 0 02 Apr 2025
Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning Kanishka Ranaweera David B. Smith P. Pathirana Ming Ding Thierry Rakotoarivelo A. Seneviratne FedML 48 0 0 27 Mar 2025
ProFed: a Benchmark for Proximity-based non-IID Federated Learning D. Domini G. Aguzzi Mirko Viroli FedML OOD 82 0 0 26 Mar 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu Zikai Zhang Rui Hu AAML FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 150 0 0 11 Mar 2025
Compute Or Load KV Cache? Why Not Both? Shuowei Jin Xueshen Liu Qingzhao Zhang Z. Morley Mao 36 6 0 24 Feb 2025
Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need Jon Irureta Jon Imaz Aizea Lojo Javier Fernandez-Marques Marco González Iñigo Perona FedML 90 1 0 20 Feb 2025
Hierarchical Fallback Architecture for High Risk Online Machine Learning Inference Gustavo Polleti Marlesson Santana Felipe Sassi Del Sant Eduardo Fontes 33 1 0 29 Jan 2025
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization Dun Zeng Zheshun Wu Shiyu Liu Yu Pan Xiaoying Tang Zenglin Xu MLT FedML 89 1 0 25 Nov 2024
Modality Alignment Meets Federated Broadcasting Yuting Ma Shengeng Tang Xiaohua Xu Lechao Cheng 70 1 0 24 Nov 2024
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben Mohamed Ali Souibgui Rubèn Pérez Tito Khanh Nguyen Raouf Kerkouche ... Josep Lladós Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas FedML 39 0 0 06 Nov 2024
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 30 2 0 02 Nov 2024
Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu Zikai Zhang Rui Hu FedML AAML 62 1 0 01 Nov 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen Xiaohu Wu Xiaoli Tang Tiantian He Y. Ong Qiqi Liu Qicheng Lao Han Yu FedML 29 3 0 25 Oct 2024
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity Handi Zhang Langchen Liu Lu Lu FedML 32 1 0 17 Oct 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 36 0 0 29 Sep 2024
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning Kin Wai Lau Yasar Abbas Ur Rehman Pedro Porto Buarque de Gusmão L. Po Lan Ma Yuyang Xie FedML 34 0 0 24 Sep 2024
Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? Peizhong Ju Haibo Yang Jia Liu Yingbin Liang Ness B. Shroff FedML 33 0 0 05 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 44 7 0 02 Sep 2024
Sparse Uncertainty-Informed Sampling from Federated Streaming Data Manuel Röder Frank-Michael Schleif FedML 34 1 0 30 Aug 2024
Celtibero: Robust Layered Aggregation for Federated Learning Borja Molina-Coronado AAML 39 1 0 26 Aug 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 58 1 0 30 Jul 2024
Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction Shuai Zhong Zengtong Tang Di Wu 31 0 0 29 Jul 2024
A collaborative ensemble construction method for federated random forest Penjan Antonio Eng Lim Cheong Hee Park FedML 27 5 0 27 Jul 2024
Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory Xiaojin Zhang Wei Chen FedML 33 0 0 23 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 31 2 0 12 Jul 2024
Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning Zhibo Wang Zhiwei Chang Jiahui Hu Xiaoyi Pang Jiacheng Du Yongle Chen Kui Ren FedML 29 1 0 22 Jun 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA Jianhao Zhu Changze Lv Xiaohua Wang Muling Wu Wenhao Liu Tianlong Li Zixuan Ling Cenyuan Zhang Xiaoqing Zheng Xuanjing Huang 41 3 0 16 Jun 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Bo Li Radha Poovendran FedML 52 1 0 31 May 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 78 3 0 25 May 2024
An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning Yunbo Li Jiaping Gui Yue Wu FedML 46 0 0 25 May 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng Han Yu Xiaoli Tang Xiaoxiao Li 47 3 0 24 May 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory Naibo Wang Yuchen Deng Wenjie Feng Jianwei Yin See-Kiong Ng DiffM FedML 47 1 0 22 May 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 37 5 0 22 May 2024
A Survey on Contribution Evaluation in Vertical Federated Learning Yue Cui Chung-ju Huang Yuzhu Zhang Leye Wang Lixin Fan Xiaofang Zhou Qiang Yang FedML 39 5 0 03 May 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 75 7 0 23 Apr 2024
Resource-efficient Parallel Split Learning in Heterogeneous Edge Computing Mingjin Zhang Jiannong Cao Yuvraj Sahni Xiangchun Chen Shan Jiang 24 3 0 23 Mar 2024
Federated Learning: Attacks, Defenses, Opportunities, and Challenges Ghazaleh Shirvani Saeid Ghasemshirazi Behzad Beigzadeh FedML 57 3 0 10 Mar 2024
Robust Training of Federated Models with Extremely Label Deficiency Yonggang Zhang Zhiqin Yang Xinmei Tian Nannan Wang Tongliang Liu Bo Han FedML 41 6 0 22 Feb 2024
FedCore: Straggler-Free Federated Learning with Distributed Coresets Hongpeng Guo Haotian Gu Xiaoyang Wang Bo Chen Eun Kyung Lee Tamar Eilam Deming Chen K. Nahrstedt FedML 24 1 0 31 Jan 2024
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation Jiaqi Wang Yuzhong Chen Yuhang Wu Mahashweta Das Hao Yang Fenglong Ma FedML 43 6 0 29 Jan 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie-jin Yang Siheng Chen FedML 29 0 0 16 Jan 2024
Vertical Federated Image Segmentation Paul K. Mandal Cole Leo 36 0 0 15 Jan 2024
FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization Ming Cheung 11 0 0 24 Dec 2023
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants Shanli Tan Hao Cheng Xiaohu Wu Han Yu Tiantian He Yew-Soon Ong Chongjun Wang Xiaofeng Tao FedML 30 4 0 18 Dec 2023