17 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.DC2024★ 1 cited
Convergence Analysis of Split Federated Learning on Heterogeneous Data
Pengchao Han, Chao Huang, Geng Tian +2
Split federated learning (SFL) is a recent distributed approach for collaborative model training among multiple clients. In SFL, a global model is typically split into two parts, w…
cs.LG2023★ 2 cited
When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation
Chao Huang, Geng Tian, Ming Tang
Federated learning (FL) enables collaborative model training across distributed clients (e.g., edge devices) without sharing raw data. Yet, FL can be computationally expensive as t…
cs.HC2021★ 17 cited
FlowMapper.org: A web-based framework for designing origin-destination flow maps
Caglar Koylu, Geng Tian, Mary Windsor
FlowMapper.org is a web-based framework for automated production and design of origin-destination flow maps (https://flowmapper.org). FlowMapper has four major features that contri…