Federated Transfer Learning: concept and applications

26 September 2020

Papers citing "Federated Transfer Learning: concept and applications"

28 / 28 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 C. Hong AI4CE 28 0 0 11 May 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients Leming Shen Qiang Yang Kaiyan Cui Yuanqing Zheng Xiao-Yong Wei Jianwei Liu Jinsong Han FedML 64 11 0 28 Feb 2025
Position: AI Scaling: From Up to Down and Out Yunke Wang Yanxi Li Chang Xu HAI 78 1 0 02 Feb 2025
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning M. Y. Jabarulla T. Uden Thomas Jack P. Beerbaum S. Oeltze-jafra 28 1 0 15 Nov 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study Hangyu Zhu Liyuan Huang Zhenping Xie FedML 21 0 0 28 Sep 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 26 2 0 12 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community Yan Liu Bin Guo Nuo Li Yasan Ding Zhouyangzi Zhang Zhiwen Yu 37 1 0 09 Jul 2024
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees Steffen Schotthöfer M. P. Laiu FedML 32 4 0 25 Jun 2024
Federated learning in food research Zuzanna Fendor Bas H. M. van der Velden Xinxin Wang Andrea Jr. Carnoli Osman Mutlu Ali Hürriyetoğlu FedML 33 0 0 10 Jun 2024
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection Ronghui Xu Hao Miao Senzhang Wang Philip S. Yu Jianxin Wang AI4TS 45 12 0 04 Jun 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients Weijun Li Qiongkai Xu Mark Dras PILM 32 1 0 03 Jun 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 29 1 0 30 May 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 70 3 0 25 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 31 5 0 03 May 2024
Federated Transfer Component Analysis Towards Effective VNF Profiling Xunzheng Zhang Shadi Moazzeni Juan Marcelo Parra Ullauri R. Nejabati Dimitra Simeonidou 37 1 0 26 Apr 2024
TablePuppet: A Generic Framework for Relational Federated Learning Lijie Xu Chulin Xie Yiran Guo Gustavo Alonso Bo-wen Li Guoliang Li Wei Wang Wentao Wu Ce Zhang FedML 31 0 0 23 Mar 2024
Online Transfer Learning for RSV Case Detection Yiming Sun Yuhe Gao Runxue Bao Gregory F. Cooper J. Espino Harry Hochheiser Marian G. Michaels J. M. Aronis Chenxi Song Ye Ye 19 2 0 03 Feb 2024
The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecasting Shuyao Zhang Jordan Tay Pedro Baiz FedML 30 1 0 14 Jan 2024
A Recent Survey of Heterogeneous Transfer Learning Runxue Bao Yiming Sun Yuhe Gao Jindong Wang Qiang Yang Zhi-Hong Mao Ye Ye 22 4 0 12 Oct 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 0 14 Jun 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 49 14 0 10 May 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing Ervin Moore Ahmed Imteaj S. Rezapour M. Amini 27 18 0 24 Mar 2023
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients Manas Wadhwa Gagan Raj Gupta Ashutosh Sahu Rahul Saini Vidhi Mittal FedML 17 6 0 19 Mar 2023
Federated Selective Aggregation for Knowledge Amalgamation Don Xie Ruonan Yu Gongfan Fang Jie Song Zunlei Feng Xinchao Wang Li Sun Mingli Song FedML 24 3 0 27 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Ehsan Hallaji R. Razavi-Far M. Saif AAML FedML 17 13 0 05 Jul 2022
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application Youlong Ding Xueyang Wu Zhitao Li Zeheng Wu S. Tan Qian Xu Weike Pan Qiang Yang FedML 33 4 0 21 Jun 2022
Mitigating Data Heterogeneity in Federated Learning with Data Augmentation Artur Back de Luca Guojun Zhang Xi Chen Yaoliang Yu FedML 22 29 0 20 Jun 2022
DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology Zhikun Chen Daofeng Li Jinkang Zhu Sihai Zhang FedML 26 8 0 10 Nov 2021