A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

23 July 2019

Papers citing "A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection"

50 / 111 papers shown

Title
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 22 0 0 15 May 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 51 0 0 08 May 2025
Federated One-Shot Learning with Data Privacy and Objective-Hiding Maximilian Egger Rüdiger Urbanke Rawad Bitar FedML 56 0 0 29 Apr 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 51 0 0 17 Apr 2025
Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification Yue Li L. Zhang 34 0 0 16 Apr 2025
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy Haotian Yang Z. Wang Benson Chou Sophie Xu Hao Wang Jingxian Wang Qizhen Zhang FedML 93 0 0 26 Mar 2025
Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT Xiaohong Yang Minghui Liwang Liqun Fu Yuhan Su Seyyedali Hosseinalipour Xianbin Wang Yiguang Hong 54 0 0 08 Mar 2025
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments Kaixiang Zhao Lincan Li Kaize Ding Neil Zhenqiang Gong Yue Zhao Yushun Dong AAML 49 0 0 22 Feb 2025
Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management Bob Johnson Michael Geller 44 1 0 28 Jan 2025
Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Alice Smith Bob Johnson Michael Geller 49 1 0 28 Jan 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
Unlearning Clients, Features and Samples in Vertical Federated Learning Ayush K. Varshney Konstantinos Vandikas V. Torra MU 36 1 0 23 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 95 0 0 22 Jan 2025
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition Hu Ding Yan Yan Yang Lu Jing-Hao Xue Hanzi Wang 28 0 0 03 Jan 2025
Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction Thalita Mendonça Antico Larissa F. Rodrigues Moreira Rodrigo Moreira 103 24 0 10 Dec 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig A. Sunyaev A. Hilbert 28 1 0 07 Nov 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 71 2 0 24 Oct 2024
FedSlate:A Federated Deep Reinforcement Learning Recommender System Yongxin Deng Xihe Qiu Xiaoyu Tan Yaochu Jin FedML 90 0 0 23 Sep 2024
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise Kyle Rui Sang Tahseen Rabbani Furong Huang FedML 31 0 0 20 Sep 2024
Privacy-preserving federated prediction of pain intensity change based on multi-center survey data Supratim Das Mahdie Rafie Paula Kammer S. Skou D. T. Grønne ... Hans-Helmut Konig Md Shihab Ullaha Niklas Probul Jan Baumbacha L. Baumbach OOD FedML 33 0 0 12 Sep 2024
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain Weiliang Chen Li Jia Yang Zhou Qianqian Ren 29 0 0 28 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 44 0 0 23 Jul 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence Shuya Feng Meisam Mohammady Hanbin Hong Shenao Yan Ashish Kundu Binghui Wang Yuan Hong FedML 38 3 0 20 Jul 2024
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent Lin Wang Zhichao Wang Xiaoying Tang 37 1 0 17 Jun 2024
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems Zhen Cai Tao Tang Shuo Yu Yunpeng Xiao Feng Xia 40 1 0 07 Jun 2024
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification Baris Büyüktas Kenneth Weitzel Sebastian Völkers Felix Zailskas Begum Demir 44 6 0 24 May 2024
Powering the Future of IoT: Federated Learning for Optimized Power Consumption and Enhanced Privacy Ghazaleh Shirvani Saeid Ghasemshirazi 24 0 0 05 May 2024
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme Qianyu Long Qiyuan Wang Christos Anagnostopoulos Daning Bi FedML 26 0 0 24 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa Chulin Xie Wenxuan Bao Andy Zhou Ron Arel Aviv Shamsian 33 6 0 03 Apr 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning Yongcun Song Ziqi Wang Enrique Zuazua FedML 35 2 0 21 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 19 13 0 10 Feb 2024
Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning Binbin Huang Hailiang Zhao Lingbin Wang Wenzhuo Qian Yuyu Yin Shuiguang Deng 29 0 0 09 Feb 2024
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach Qiqing Wang Kaidi Yang FedML 31 8 0 22 Jan 2024
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation Yun-Wei Chu Dong-Jun Han Christopher G. Brinton 26 4 0 15 Jan 2024
Horizontal Federated Computer Vision Paul K. Mandal Cole Leo Connor Hurley FedML ObjD 39 0 0 31 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 30 31 0 27 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
CommunityAI: Towards Community-based Federated Learning Ilir Murturi Praveen Kumar Donta Schahram Dustdar FedML 27 1 0 29 Nov 2023
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows Dimitris Stripelis Chrysovalantis Anastasiou Patrick Toral Armaghan Asghar J. Ambite 22 1 0 01 Nov 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 23 9 0 13 Oct 2023
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory Naoki Masuyama Yusuke Nojima Y. Toda C. K. Loo H. Ishibuchi N. Kubota FedML 29 3 0 07 Sep 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 17 21 0 23 Aug 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 37 23 0 20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 15 2 0 15 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 111 26 0 23 Mar 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 41 13 0 21 Mar 2023
Subspace based Federated Unlearning Guang-Ming Li Li Shen Yan Sun Yuejun Hu Han Hu Dacheng Tao MU FedML 18 20 0 24 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 33 21 0 20 Feb 2023