Federated Learning with Bayesian Differential Privacy

22 November 2019

Boi Faltings

Papers citing "Federated Learning with Bayesian Differential Privacy"

34 / 34 papers shown

Title
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems S. Mandelli Vinod Puthuvath Anderson Rocha Rafidha Rehiman K. A. Mauro Conti AAML 33 0 0 06 Apr 2025
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 44 3 0 20 Jul 2024
Decentralized Personalized Online Federated Learning Renzhi Wu Saayan Mitra Xiang Chen Anup Rao FedML 29 2 0 08 Nov 2023
Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges Chuan Chen Yuecheng Li Zhenpeng Wu Chengyuan Mai Youming Liu Yanming Hu Zibin Zheng Jiawen Kang 56 16 0 23 Apr 2023
FedBlockHealth: A Synergistic Approach to Privacy and Security in IoT-Enabled Healthcare through Federated Learning and Blockchain Nazar Waheed A. Rehman Anushka Nehra Mahnoor Farooq Nargis Tariq M. Jan Fazlullah Khan Abeer Z. Alalmaie P. Nanda 18 10 0 16 Apr 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
Enforcing Privacy in Distributed Learning with Performance Guarantees Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 27 9 0 16 Jan 2023
Decentralized Matrix Factorization with Heterogeneous Differential Privacy Wentao Hu Hui Fang 19 0 0 01 Dec 2022
Mixed Precision Quantization to Tackle Gradient Leakage Attacks in Federated Learning Pretom Roy Ovi Emon Dey Nirmalya Roy A. Gangopadhyay FedML 21 4 0 22 Oct 2022
On the Impossible Safety of Large AI Models El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui Nirupam Gupta L. Hoang Rafael Pinot Sébastien Rouault John Stephan 30 31 0 30 Sep 2022
FedMCSA: Personalized Federated Learning via Model Components Self-Attention Qianling Guo Yong Qi Saiyu Qi Di Wu Qian Li FedML 21 9 0 23 Aug 2022
Differentially Private Federated Combinatorial Bandits with Constraints Sambhav Solanki Samhita Kanaparthy Sankarshan Damle Sujit Gujar FedML 29 4 0 27 Jun 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
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 25 15 0 26 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 21 88 0 11 Apr 2022
Privatized Graph Federated Learning Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 14 4 0 14 Mar 2022
No Free Lunch Theorem for Security and Utility in Federated Learning Xiaojin Zhang Hanlin Gu Lixin Fan Kai Chen Qiang Yang FedML 16 64 0 11 Mar 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 32 10 0 21 Jan 2022
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 25 1 0 28 Dec 2021
Differentially Private Federated Learning on Heterogeneous Data Maxence Noble A. Bellet Aymeric Dieuleveut FedML 13 102 0 17 Nov 2021
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS Yusuf Efe FedML 31 5 0 17 Nov 2021
Federated Learning Meets Fairness and Differential Privacy P. Manisha Sankarshan Damle Sujit Gujar FedML 30 21 0 23 Aug 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 28 64 0 30 Jul 2021
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy Xinwei Zhang Xiangyi Chen Min-Fong Hong Zhiwei Steven Wu Jinfeng Yi FedML 30 91 0 25 Jun 2021
Low-Latency Federated Learning over Wireless Channels with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Cailian Chen Shi Jin Zhu Han H. Vincent Poor FedML 35 73 0 20 Jun 2021
A Graph Federated Architecture with Privacy Preserving Learning Elsa Rizk Ali H. Sayed FedML 39 21 0 26 Apr 2021
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions Alberto Blanco-Justicia J. Domingo-Ferrer Sergio Martínez David Sánchez Adrian Flanagan K. E. Tan FedML 26 110 0 12 Dec 2020
A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings Panayiotis Danassis Aleksei Triastcyn Boi Faltings 11 4 0 16 Nov 2020
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning Jiangcheng Qin Baisong Liu FedML 32 19 0 11 Nov 2020
The Limits of Differential Privacy (and its Misuse in Data Release and Machine Learning) J. Domingo-Ferrer David Sánchez Alberto Blanco-Justicia 13 106 0 04 Nov 2020
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data Chang Wang Jian Liang Mingkai Huang Bing Bai Kun Bai Hao Li FedML 23 44 0 06 Sep 2020
Local Differential Privacy based Federated Learning for Internet of Things Yang Zhao Jun Zhao Mengmeng Yang Teng Wang Ning Wang Lingjuan Lyu Dusit Niyato Kwok-Yan Lam 25 292 0 19 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 60 50 0 01 Apr 2020
Wireless Federated Learning with Local Differential Privacy Mohamed Seif Ravi Tandon Ming Li 81 171 0 12 Feb 2020