Near-Optimal Resilient Aggregation Rules for Distributed Learning Using
1-Center and 1-Mean Clustering with Outliers

Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers

20 December 2023

Changxin Liu

Papers citing "Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers"

6 / 6 papers shown

Title
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering Changxin Liu Yanghao Li Yuhao Yi Karl H. Johansson FedML 33 0 0 13 Sep 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 48 1 0 16 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 44 0 0 09 Aug 2024
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 31 67 0 24 May 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao D. Song Michael I. Jordan FedML 98 30 0 24 May 2022
Approximate Byzantine Fault-Tolerance in Distributed Optimization Shuo Liu Nirupam Gupta Nitin H. Vaidya 28 42 0 22 Jan 2021