Byzantine-Resilient Secure Federated Learning

21 July 2020

Papers citing "Byzantine-Resilient Secure Federated Learning"

36 / 36 papers shown

Title
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
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Ning Wang Shanghao Shi Yang Xiao Yimin Chen Y. T. Hou W. Lou FedML AAML 36 1 0 12 Jul 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
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy Zikai Zhang Rui Hu 41 11 0 07 Sep 2023
FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users Y. Rahulamathavan Charuka Herath Xiaolan Liu S. Lambotharan Carsten Maple 41 12 0 08 Jun 2023
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties Jingwei Sun Zhixu Du Anna Dai Saleh Baghersalimi Alireza Amirshahi David Atienza Yiran Chen FedML 16 7 0 28 Mar 2023
ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment Tayyebeh Jahani-Nezhad M. Maddah-ali Giuseppe Caire FedML 32 2 0 20 Feb 2023
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent Shashank Reddy Chirra K. Nadimpalli Shrisha Rao 27 0 0 16 Jan 2023
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 36 13 0 21 Aug 2022
Trustworthy Federated Learning via Blockchain Zhanpeng Yang Yuanming Shi Yong Zhou Zixin Wang Kai Yang 34 68 0 13 Aug 2022
Over-the-Air Federated Edge Learning with Hierarchical Clustering Ozan Aygün M. Kazemi Deniz Gündüz T. Duman 29 5 0 19 Jul 2022
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning Hua Ma Qun Li Yifeng Zheng Zhi Zhang Xiaoning Liu Yan Gao S. Al-Sarawi Derek Abbott FedML 37 3 0 19 Jul 2022
Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning Jingheng Zheng Hui Tian Wanli Ni Wei Ni Ping Zhang 32 34 0 17 Jul 2022
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
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 26 58 0 30 Jun 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning Zahra Ghodsi Mojan Javaheripi Nojan Sheybani Xinqiao Zhang Ke Huang F. Koushanfar FedML 47 17 0 24 Jun 2022
Edge Security: Challenges and Issues Xin Jin Charalampos Katsis Fan Sang Jiahao Sun A. Kundu Ramana Rao Kompella 47 8 0 14 Jun 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao D. Song Michael I. Jordan FedML 98 30 0 24 May 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation Ljubomir Rokvic Panayiotis Danassis Sai Praneeth Karimireddy Boi Faltings TDI 27 1 0 23 May 2022
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement Jingwen Zhang Yuezhou Wu Rong Pan FedML 32 19 0 07 Jan 2022
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning Irem Ergun Hasin Us Sami Başak Güler FedML 36 26 0 23 Dec 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 43 416 0 24 Nov 2021
MANDERA: Malicious Node Detection in Federated Learning via Ranking Wanchuang Zhu Benjamin Zi Hao Zhao Simon Luo Tongliang Liu Kefeng Deng AAML 29 8 0 22 Oct 2021
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions Thippa Reddy Gadekallu Viet Quoc Pham Thien Huynh-The S. Bhattacharya Praveen Kumar Reddy Maddikunta Madhusanka Liyanage FedML AI4CE 50 39 0 08 Oct 2021
Combining Differential Privacy and Byzantine Resilience in Distributed SGD R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan FedML 43 4 0 08 Oct 2021
Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data Kun Zhai Qiang Ren Junli Wang Chungang Yan 18 11 0 06 Sep 2021
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges S. Ulukus Salman Avestimehr Michael C. Gastpar S. Jafar Ravi Tandon Chao Tian FedML 30 64 0 30 Jul 2021
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning Shuo Liu AI4CE OOD 50 13 0 16 Jun 2021
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection Tuo Zhang Chaoyang He Tian-Shya Ma Lei Gao Mark Ma Salman Avestimehr FedML 24 112 0 15 Jun 2021
On the Strategyproofness of the Geometric Median El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui L. Hoang FedML 27 18 0 04 Jun 2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan 33 30 0 16 Feb 2021
Information Theoretic Secure Aggregation with User Dropouts Yizhou Zhao Hua Sun FedML 59 67 0 19 Jan 2021
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 30 173 0 18 Dec 2020
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning S. Kadhe Nived Rajaraman O. O. Koyluoglu Kannan Ramchandran FedML 17 158 0 23 Sep 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 22 289 0 11 Feb 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,032 0 29 Nov 2018