Poster · Atlanta

Mitigating Data Heterogeneity Effect in Client-Reshuffling-Based Federated Learning

Name: Mitigating Data Heterogeneity Effect in Client-Reshuffling-Based Federated Learning
Start: 2026-12-09T10:00:00-05:00
End: 2026-12-09T13:00:00-05:00
Location: Hall C1, Georgia World Congress Center

When: Wed 9 Dec 2026, 10:00–13:00 EST
Where: Hall C1, Georgia World Congress Center
Session: Atlanta Poster Session 1
Authors: Su Zhang, Peiran Yu, Heng Huang
Organisations: University of Maryland, College Park, University of Texas at Arlington
QRS classification: Efficient and distributed ML systems

Open in schedule Official page