A Hybrid Approach to Privacy-Preserving Federated Learning

7 December 2018

Ali Anwar

Papers citing "A Hybrid Approach to Privacy-Preserving Federated Learning"

50 / 115 papers shown

Title
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search Chunhui Zhang Xiaoming Yuan Qianyun Zhang Guangxu Zhu Lei Cheng Ning Zhang FedML OOD 26 15 0 23 Feb 2022
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Shadi Rahimian Raouf Kerkouche I. Kurth Mario Fritz FedML 22 11 0 08 Feb 2022
Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations Kennedy Edemacu Beakcheol Jang Jong Wook Kim 22 1 0 07 Feb 2022
Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review F. Mohammadi Farzan Shenavarmasouleh H. Arabnia 35 16 0 06 Feb 2022
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning A. Mondal Harpreet Virk Debayan Gupta 40 15 0 06 Feb 2022
Training Differentially Private Models with Secure Multiparty Computation Sikha Pentyala Davis Railsback Ricardo Maia Rafael Dowsley David Melanson Anderson C. A. Nascimento Martine De Cock 21 14 0 05 Feb 2022
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters Qiang Meng Feng Zhou Hainan Ren Tianshu Feng Guochao Liu Yuanqing Lin FedML 33 38 0 29 Jan 2022
A Secure and Efficient Federated Learning Framework for NLP Jieren Deng Chenghong Wang Xianrui Meng Yijue Wang Ji Li Sheng Lin Shuo Han Fei Miao Sanguthevar Rajasekaran Caiwen Ding FedML 77 22 0 28 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
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 21 73 0 19 Jan 2022
SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation Yash More Prashanthi Ramachandran Priyam Panda A. Mondal Harpreet Virk Debayan Gupta FedML 27 11 0 19 Jan 2022
Secret Sharing Sharing For Highly Scalable Secure Aggregation Timothy Stevens Joseph P. Near Christian Skalka FedML 24 5 0 03 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
Gradient Leakage Attack Resilient Deep Learning Wenqi Wei Ling Liu SILM PILM AAML 27 47 0 25 Dec 2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig AI4CE 37 25 0 15 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 38 77 0 26 Nov 2021
FedLess: Secure and Scalable Federated Learning Using Serverless Computing Andreas Grafberger Mohak Chadha Anshul Jindal Jianfeng Gu Michael Gerndt 38 49 0 05 Nov 2021
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection Mohanad Sarhan S. Layeghy Nour Moustafa Marius Portmann FedML 25 72 0 04 Nov 2021
Differentially Private Federated Bayesian Optimization with Distributed Exploration Zhongxiang Dai K. H. Low Patrick Jaillet FedML 18 41 0 27 Oct 2021
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 48 52 0 17 Sep 2021
Source Inference Attacks in Federated Learning Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Xuyun Zhang 27 79 0 13 Sep 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 32 100 0 10 Aug 2021
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption Dimitris Stripelis Hamza Saleem Tanmay Ghai Nikhil J. Dhinagar Umang Gupta ... Greg Ver Steeg Yu Yang Muhammad Naveed Paul M. Thompson J. Ambite FedML 46 53 0 07 Aug 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 40 74 0 23 Jul 2021
Precision-Weighted Federated Learning Jonatan Reyes Di-Jorio Lisa Cécile Low-Kam Marta Kersten-Oertel FedML 16 35 0 20 Jul 2021
Faithful Edge Federated Learning: Scalability and Privacy Meng Zhang Ermin Wei R. Berry FedML 26 44 0 30 Jun 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 32 91 0 25 Jun 2021
A Survey of Privacy Vulnerabilities of Mobile Device Sensors Paula Delgado-Santos Giuseppe Stragapede Ruben Tolosana R. Guest F. Deravi R. Vera-Rodríguez PILM 32 45 0 18 Jun 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 24 42 0 25 May 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 56 244 0 29 Apr 2021
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things Jiehan Zhou Shouhua Zhang Qinghua Lu W. Dai Min Chen Xin Liu Susanna Pirttikangas Yang Shi Weishan Zhang E. Herrera-Viedma FedML AI4CE 28 44 0 21 Apr 2021
Sample-based and Feature-based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA Ying Cui Yangchen Li Chencheng Ye FedML 19 7 0 13 Apr 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 39 128 0 31 Mar 2021
SoK: Privacy-Preserving Collaborative Tree-based Model Learning Sylvain Chatel Apostolos Pyrgelis J. Troncoso-Pastoriza Jean-Pierre Hubaux 17 14 0 16 Mar 2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar J. Joshi Heiko Ludwig FedML 13 75 0 05 Mar 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz Ziyu Liu Thomas Steinke FedML 44 232 0 12 Feb 2021
Privacy-preserving Decentralized Aggregation for Federated Learning Beomyeol Jeon S. Ferdous Muntasir Raihan Rahman A. Walid FedML 28 52 0 13 Dec 2020
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections Linshan Jiang Rui Tan Xin Lou Guosheng Lin 24 12 0 11 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 41 140 0 07 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning Hangyu Zhu Rui Wang Yaochu Jin K. Liang Jianting Ning FedML 35 46 0 25 Nov 2020
FLaaS: Federated Learning as a Service N. Kourtellis Kleomenis Katevas Diego Perino FedML 24 60 0 18 Nov 2020
A Distributed Privacy-Preserving Learning Dynamics in General Social Networks Youming Tao Shuzhen Chen Feng Li Dongxiao Yu Jiguo Yu Hao Sheng FedML 19 3 0 15 Nov 2020
Compression Boosts Differentially Private Federated Learning Raouf Kerkouche G. Ács C. Castelluccia P. Genevès FedML 30 29 0 10 Nov 2020
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data Xuebin Ren Chia-Mu Yu Wei Yu Xinyu Yang Jun Zhao Shusen Yang 20 6 0 29 Sep 2020
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning S. Kadhe Nived Rajaraman O. O. Koyluoglu Kannan Ramchandran FedML 22 159 0 23 Sep 2020
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 29 106 0 11 Sep 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning Sinem Sav Apostolos Pyrgelis J. Troncoso-Pastoriza D. Froelicher Jean-Philippe Bossuat João Sá Sousa Jean-Pierre Hubaux FedML 11 153 0 01 Sep 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 38 125 0 05 Aug 2020
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization Rui Hu Yanmin Gong Yuanxiong Guo FedML 26 55 0 01 Aug 2020