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Yaoliang Yu — most-cited papers & profile · Federated Learning
← authors
·
overview
Yaoliang Yu
14
papers ·
94
citations ·
26
h-index
University of Waterloo · Vector Institute
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Federated Learning Meets Multi-objective Optimization
2020 · 31 citations
Mitigating Data Heterogeneity in Federated Learning with Data Augmentation
2022 · 19 citations
Proportional Fairness in Federated Learning
2022 · 5 citations
An Operator Splitting View of Federated Learning
2021 · 2 citations
A Unified Framework for Gradient Aggregation in Multi-Objective Optimization
2026
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
2024
Semi-Variance Reduction for Fair Federated Learning
2024
Top co-authors
Saber Malekmohammadi
· 4
Guojun Zhang
· 3
Zeou Hu
· 3
Kiarash Shaloudegi
· 2
Xi Chen
· 2
Artur Back de Luca
· 1
Kelvin Ho
· 1
Yang Cao
· 1
Topics
Federated Learning
cs.LG
cs.AI
math.OC
Privacy
Optimization
Adversarial Attacks
Edge Computing
Data Heterogeneity