FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning

23 September 2020

Papers citing "FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning"

50 / 68 papers shown

Title
Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy Jiahao Xu Rui Hu Olivera Kotevska FedML 26 0 0 19 May 2025
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Peihua Mai Youlong Ding Ziyan Lyu Minxin Du Yan Pang FedML 27 0 0 18 May 2025
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association Xiang Zhang Zhou Li Kai Wan Hua Sun Mingyue Ji Giuseppe Caire 68 0 0 06 Mar 2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Runhua Xu Bo Li Chao Li J. Joshi Shuai Ma Jianxin Li FedML 46 10 0 10 Jan 2025
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 93 0 0 02 Dec 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 264 1 0 19 Nov 2024
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning using Packed Secret Sharing Alexander Bienstock Ujjwal Kumar Antigoni Polychroniadou FedML 39 0 0 21 Oct 2024
ACCESS-FL: Agile Communication and Computation for Efficient Secure Aggregation in Stable Federated Learning Networks Niousha Nazemi Omid Tavallaie Shuaijun Chen Anna Maria Mandalari Kanchana Thilakarathna Ralph Holz Hamed Haddadi Albert Y. Zomaya FedML 29 2 0 03 Sep 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 53 3 0 16 Aug 2024
Harvesting Private Medical Images in Federated Learning Systems with Crafted Models Shanghao Shi Md Shahedul Haque Abhijeet Parida M. Linguraru Y. T. Hou Syed Muhammad Anwar W. Lou FedML 41 3 0 13 Jul 2024
Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning Peng Kuang Zhiwei Chang Jiahui Hu Xiaoyi Pang Jiacheng Du Yongle Chen Kui Ren FedML 34 1 0 22 Jun 2024
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting Jeffrey Ma Alan Tu Yiling Chen Vijay Janapa Reddi FedML 47 0 0 05 Jun 2024
Worldwide Federated Training of Language Models Alexandru Iacob Lorenzo Sani Bill Marino Preslav Aleksandrov William F. Shen Nicholas D. Lane FedML 39 2 0 23 May 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models Zhiwei Li Guodong Long Chunxu Zhang Honglei Zhang Jing Jiang Chengqi Zhang 117 0 0 12 May 2024
FastLloyd: Federated, Accurate, Secure, and Tunable $k$ -Means Clustering with Differential Privacy Abdulrahman Diaa Thomas Humphries Florian Kerschbaum FedML 38 0 0 03 May 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 55 1 0 19 Apr 2024
Private Aggregate Queries to Untrusted Databases Syed Mahbub Hafiz Chitrabhanu Gupta Warren Wnuck Brijesh Vora Chen-Nee Chuah 44 1 0 20 Mar 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning Divyansh Jhunjhunwala Shiqiang Wang Gauri Joshi FedML 35 6 0 19 Mar 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 31 2 0 05 Jan 2024
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 52 0 0 17 Dec 2023
AHSecAgg and TSKG: Lightweight Secure Aggregation for Federated Learning Without Compromise Siqing Zhang Yong Liao Pengyuan Zhou FedML 16 2 0 08 Dec 2023
Towards Efficient Secure Aggregation in FL: Partial Vector Freezing for Cost Compression Siqing Zhang Yong Liao Pengyuan Zhou 32 0 0 08 Dec 2023
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction Shanghao Shi Ning Wang Yang Xiao Chaoyu Zhang Yi Shi Y. T. Hou W. Lou 18 7 0 10 Nov 2023
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection S. Kadhe Heiko Ludwig Nathalie Baracaldo Alan King Yi Zhou ... Ryo Kawahara Nir Drucker Hayim Shaul Eyal Kushnir Omri Soceanu FedML 23 3 0 30 Oct 2023
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy Zikai Zhang Rui Hu 41 11 0 07 Sep 2023
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning Yiping Ma Jess Woods Sebastian Angel Antigoni Polychroniadou T. Rabin FedML 37 52 0 19 Aug 2023
LISA: LIghtweight single-server Secure Aggregation with a public source of randomness Elina van Kempen Qifei Li G. Marson Claudio Soriente 32 5 0 04 Aug 2023
Towards Sybil Resilience in Decentralized Learning Thomas Werthenbach J. Pouwelse AAML 15 2 0 26 Jun 2023
AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning Ghada Almashaqbeh Zahra Ghodsi FedML 37 1 0 12 Jun 2023
LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation Joshua C. Zhao Atul Sharma A. Elkordy Yahya H. Ezzeldin Salman Avestimehr S. Bagchi AAML FedML 43 28 0 21 Mar 2023
Efficient and Secure Federated Learning for Financial Applications Tao Liu Zhi Wang Hui He Wei Shi Liangliang Lin Wei Shi Ran An Chenhao Li FedML 29 20 0 15 Mar 2023
Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain Baturalp Buyukates Chaoyang He Shanshan Han Zhiyong Fang Yupeng Zhang Jieyi Long A. Farahanchi Salman Avestimehr OOD 44 7 0 27 Feb 2023
OLYMPIA: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols Ivoline C. Ngong Nicholas J. Gibson Joseph P. Near 30 2 0 20 Feb 2023
Federated Analytics: A survey A. Elkordy Yahya H. Ezzeldin Shanshan Han Sharad Sharma Chaoyang He S. Mehrotra Salman Avestimehr FedML 34 26 0 02 Feb 2023
Federated Learning over Coupled Graphs Runze Lei Peijie Wang Junzhou Zhao Lin Lan Jing Tao Chao Deng Junlan Feng Xidian Wang Xiaohong Guan FedML 16 14 0 26 Jan 2023
FedExP: Speeding Up Federated Averaging via Extrapolation Divyansh Jhunjhunwala Shiqiang Wang Gauri Joshi FedML 32 53 0 23 Jan 2023
Private Federated Submodel Learning via Private Set Union Zhusheng Wang S. Ulukus FedML 40 7 0 18 Jan 2023
Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain Vesal Ahsani Alireza Rahimi Mehdi Letafati B. Khalaj 43 15 0 01 Jan 2023
Local Model Reconstruction Attacks in Federated Learning and their Uses Ilias Driouich Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML FedML 36 2 0 28 Oct 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation Y. Ben-Itzhak Helen Mollering Benny Pinkas T. Schneider Ajith Suresh Oleksandr Tkachenko S. Vargaftik Christian Weinert Hossein Yalame Avishay Yanai 40 6 0 13 Oct 2022
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao Yuchang Sun Songze Li Jun Zhang OOD 49 38 0 06 Oct 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy Zhifeng Jiang Wei Wang Ruichuan Chen 43 7 0 26 Sep 2022
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report) Shuyuan Zheng Yang Cao Masatoshi Yoshikawa FedML 72 24 0 11 Sep 2022
DHSA: Efficient Doubly Homomorphic Secure Aggregation for Cross-silo Federated Learning Zizhen Liu Si-Quan Chen Jing Ye Junfeng Fan Huawei Li Xiaowei Li FedML 18 13 0 15 Aug 2022
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? A. Elkordy Jiang Zhang Yahya H. Ezzeldin Konstantinos Psounis A. Avestimehr FedML 37 38 0 03 Aug 2022
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar S. Kadhe Heiko Ludwig FedML 22 22 0 15 Jul 2022
Secure Embedding Aggregation for Federated Representation Learning Jiaxiang Tang Jinbao Zhu Songze Li Lichao Sun FedML 26 0 0 18 Jun 2022
Secure Aggregation for Federated Learning in Flower Kwing Hei Li Pedro Porto Buarque de Gusmão Daniel J. Beutel Nicholas D. Lane FedML 29 36 0 12 May 2022
On the Information Theoretic Secure Aggregation with Uncoded Groupwise Keys Kai Wan Xin Yao Hua Sun Mingyue Ji Giuseppe Caire FedML 28 0 0 24 Apr 2022
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning Ziyao Liu Jiale Guo Kwok-Yan Lam Jun Zhao 22 80 0 31 Mar 2022