LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation
in Federated Learning

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning

29 September 2021

Chien-Sheng Yang

Salman Avestimehr

Papers citing "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"

6 / 6 papers shown

Title
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models Mainak Singha Subhankar Roy Sarthak Mehrotra Ankit Jha Moloud Abdar Biplab Banerjee Elisa Ricci VLM VPVLM 76 0 0 29 Apr 2025
Federated One-Shot Learning with Data Privacy and Objective-Hiding Maximilian Egger Rüdiger Urbanke Rawad Bitar FedML 34 0 0 29 Apr 2025
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision Chaoyang He Zhengyu Yang Erum Mushtaq Sunwoo Lee Mahdi Soltanolkotabi A. Avestimehr FedML 59 33 0 06 Oct 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 142 358 0 14 Jul 2021
Information Theoretic Secure Aggregation with User Dropouts Yizhou Zhao Hua Sun FedML 46 55 0 19 Jan 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 118 645 0 28 Sep 2019