Security-Preserving Federated Learning via Byzantine-Sensitive Triplet
Distance

Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance

29 October 2022

Sangwoo Park

Papers citing "Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance"

6 / 6 papers shown

Title
FNBench: Benchmarking Robust Federated Learning against Noisy Labels Xuefeng Jiang Jia Li Nannan Wu Z. F. Wu Xujing Li Sheng Sun Gang Xu Y. Wang Qi Li Min Liu FedML 44 3 0 10 May 2025
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging Youngjoon Lee J. Gong Joonhyuk Kang FedML 50 1 0 28 Apr 2025
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks Youngjoon Lee J. Gong Joonhyuk Kang 47 0 0 31 Oct 2024
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction Xuefeng Jiang Sheng Sun Jia Li Jingjing Xue Runhan Li Zhiyuan Wu Gang Xu Yuwei Wang Min Liu FedML 30 10 0 08 Aug 2024
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 87 945 0 03 Feb 2021
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,032 0 29 Nov 2018