SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation

19 January 2022

Papers citing "SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation"

6 / 6 papers shown

Title
Self-Supervised Federated GNSS Spoofing Detection with Opportunistic Data Wenjie Liu Panos Papadimitratos 32 0 0 09 May 2025
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference Linshan Jiang Qun Song Rui Tan Mo Li 16 4 0 12 Nov 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 30 6 0 13 Oct 2022
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning A. Mondal Harpreet Virk Debayan Gupta 32 15 0 06 Feb 2022
Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus Hang Chen Syed Ali Asif Jihong Park Chien-Chung Shen M. Bennis FedML 33 42 0 09 Jan 2021