Free-rider Attacks on Model Aggregation in Federated Learning

21 June 2020

Marco Lorenzi

Papers citing "Free-rider Attacks on Model Aggregation in Federated Learning"

45 / 45 papers shown

Title
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents Christian Schroeder de Witt AAML AI4CE 159 1 0 04 May 2025
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction Weijie Liu Ziwei Zhan Carlee Joe-Wong Edith Ngai Jingpu Duan Deke Guo Xu Chen Xinsong Zhang FedML 53 0 0 24 Apr 2025
Benchmarking Mutual Information-based Loss Functions in Federated Learning Sarang S Harsh D. Chothani Qilei Li A. Abdelmoniem Arnab K. Paul FedML 35 0 0 16 Apr 2025
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning F. Stricker J. A. Peregrina D. Bermbach C. Zirpins FedML 78 0 0 31 Jan 2025
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 33 0 0 07 Oct 2024
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing Eugenio Lomurno Matteo Matteucci 41 2 0 30 Jul 2024
Tackling Selfish Clients in Federated Learning Andrea Augello Ashish Gupta G. Re Sajal K. Das FedML 23 0 0 22 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 45 2 0 09 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community Yan Liu Bin Guo Nuo Li Yasan Ding Zhouyangzi Zhang Zhiwen Yu 50 1 0 09 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
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical William Boitier Antonella del Pozzo Álvaro García-Pérez Stephane Gazut Pierre Jobic ... Aurélien Mayoue Maxence Perion T. F. Rezende Deepika Singh Sara Tucci-Piergiovanni 22 1 0 05 Jun 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? Marco Bornstein Amrit Singh Bedi Abdirisak Mohamed Furong Huang FedML 44 0 0 22 May 2024
Prediction-sharing During Training and Inference Yotam gafni R. Gradwohl Moshe Tennenholtz 18 0 0 26 Mar 2024
Don't Forget What I did?: Assessing Client Contributions in Federated Learning Bishwamittra Ghosh Debabrota Basu Huazhu Fu Wang Yuan Renuga Kanagavelu Jiang Jin Peng Liu Yong Goh Siow Mong Rick Qingsong Wei FedML 46 0 0 11 Mar 2024
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning Hamid Mozaffari Sunav Choudhary Amir Houmansadr 46 2 0 10 Mar 2024
Federated Unlearning: a Perspective of Stability and Fairness Jiaqi Shao Tao Lin Xuanyu Cao Bing Luo MU 30 7 0 02 Feb 2024
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare Hyejun Jeong Tai-Myung Chung FedML 27 1 0 16 Jan 2024
TrustFed: A Reliable Federated Learning Framework with Malicious-Attack Resistance Hangn Su Jianhong Zhou Xianhua Niu Gang Feng AAML 29 4 0 06 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 47 19 0 27 Nov 2023
Contribution Evaluation in Federated Learning: Examining Current Approaches Vasilis Siomos Jonathan Passerat-Palmbach FedML 14 2 0 16 Nov 2023
Towards Realistic Mechanisms That Incentivize Federated Participation and Contribution Marco Bornstein Amrit Singh Bedi Anit Kumar Sahu Furqan Khan Furong Huang FedML 19 0 0 20 Oct 2023
Collaborative Distributed Machine Learning Sumit Kumar Jha Patrick Lincoln Sascha Rank Ali Sunyaev 35 1 0 28 Sep 2023
Leveraging Learning Metrics for Improved Federated Learning Andre Fu FedML 14 0 0 01 Sep 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
Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning Baihe Huang Sai Praneeth Karimireddy Michael I. Jordan FedML 25 6 0 08 Jun 2023
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs Shanshan Han Baturalp Buyukates Zijian Hu Han Jin Weizhao Jin ... Qifan Zhang Yuhui Zhang Carlee Joe-Wong Salman Avestimehr Chaoyang He SILM 31 12 0 08 Jun 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
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning Shenghui Li Edith C.H. Ngai Thiemo Voigt FedML AAML 23 53 0 14 Feb 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 38 32 0 04 Jan 2023
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks Y. Sagduyu FedML 24 8 0 21 Dec 2022
PASS: A Parameter Audit-based Secure and Fair Federated Learning Scheme against Free-Rider Attack Jianhua Wang Xiaolin Chang J. Misic Vojislav B. Mišić Yixiang Wang 24 7 0 15 Jul 2022
Mechanisms that Incentivize Data Sharing in Federated Learning Sai Praneeth Karimireddy Wenshuo Guo Michael I. Jordan FedML 33 45 0 10 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
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients Xiaoyu Cao Neil Zhenqiang Gong 20 108 0 16 Mar 2022
Fabricated Flips: Poisoning Federated Learning without Data Jiyue Huang Zilong Zhao L. Chen Stefanie Roos 27 3 0 07 Feb 2022
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN Zilong Zhao Jiyue Huang Stefanie Roos L. Chen AAML 24 5 0 24 Jan 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 37 212 0 20 Jan 2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning Xingyu Li Zhe Qu Shangqing Zhao Bo Tang Zhuo Lu Yao-Hong Liu AAML 38 92 0 08 Jan 2022
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 44 11 0 10 Dec 2021
The More, the Better? A Study on Collaborative Machine Learning for DGA Detection Arthur Drichel Benedikt Holmes Justus von Brandt Ulrike Meyer 92 7 0 24 Sep 2021
Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective Ning Zhang Qian Ma Xu Chen FedML 24 50 0 22 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 28 86 0 04 May 2021
Preserved central model for faster bidirectional compression in distributed settings Constantin Philippenko Aymeric Dieuleveut 21 30 0 24 Feb 2021
Quality Inference in Federated Learning with Secure Aggregation Balázs Pejó G. Biczók FedML 21 22 0 13 Jul 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,032 0 29 Nov 2018