Achieving Security and Privacy in Federated Learning Systems: Survey,
Research Challenges and Future Directions

Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions

12 December 2020

Alberto Blanco-Justicia

J. Domingo-Ferrer

Sergio Martínez

Adrian Flanagan

Papers citing "Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions"

19 / 19 papers shown

Title
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders Xuwei Yang Fatemeh Tavakoli D. B. Emerson Anastasis Kratsios FedML 62 0 0 30 Apr 2025
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 3 0 03 Nov 2024
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering Rasoul Jafari Gohari Laya Aliahmadipour Ezat Valipour FedML 32 0 0 16 Sep 2024
Tackling Selfish Clients in Federated Learning Andrea Augello Ashish Gupta G. Re Sajal K. Das FedML 23 0 0 22 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis Chao Feng Alberto Huertas Celdrán Jan von der Assen Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller OOD AAML 54 8 0 11 Jul 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 34 1 0 16 Jun 2024
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 29 16 0 19 Sep 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher Brinton FedML 40 85 0 02 Jun 2023
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 35 9 0 19 May 2023
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives Hafsa Bousbiat Roumaysa Bousselidj Yassine Himeur Abbes Amira F. Bensaali F. Fadli W. Mansoor W. Elmenreich 23 8 0 17 Apr 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 33 18 0 24 Mar 2023
FedRight: An Effective Model Copyright Protection for Federated Learning Jinyin Chen Mingjun Li Mingjun Li Haibin Zheng FedML 17 11 0 18 Mar 2023
Enhanced Security and Privacy via Fragmented Federated Learning N. Jebreel J. Domingo-Ferrer Alberto Blanco-Justicia David Sánchez FedML 33 26 0 13 Jul 2022
Defending against the Label-flipping Attack in Federated Learning N. Jebreel J. Domingo-Ferrer David Sánchez Alberto Blanco-Justicia AAML 18 36 0 05 Jul 2022
FL-Defender: Combating Targeted Attacks in Federated Learning N. Jebreel J. Domingo-Ferrer AAML FedML 43 56 0 02 Jul 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
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning Alberto Blanco-Justicia David Sánchez J. Domingo-Ferrer K. Muralidhar 9 59 0 09 Jun 2022
Secure and Privacy-Preserving Federated Learning via Co-Utility J. Domingo-Ferrer Alberto Blanco-Justicia Jesús Manjón David Sánchez FedML 21 37 0 04 Aug 2021
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,032 0 29 Nov 2018