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Yae Jee Cho — most-cited papers & profile · Federated Learning
← authors
·
overview
Yae Jee Cho
8
papers ·
115
citations ·
11
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
2020 · 74 citations
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer
2021 · 15 citations
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning
2020 · 10 citations
On the Convergence of Federated Averaging with Cyclic Client Participation
2023 · 7 citations
Maximizing Global Model Appeal in Federated Learning
2022 · 4 citations
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
2022 · 3 citations
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
2023 · 1 citations
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
2024 · 1 citations
Top co-authors
Gauri Joshi
· 8
Dimitrios Dimitriadis
· 2
Jianyu Wang
· 2
Zheng Xu
· 2
Aldi Fahrezi
· 1
Andre Manoel
· 1
Divyansh Jhunjhunwala
· 1
Luyang Liu
· 1
Osman Ya\u{g}an
· 1
Pranay Sharma
· 1
Robert B. Sim
· 1
Samarth Gupta
· 1
Topics
Federated Learning
Data Heterogeneity
Optimization
Communication
Privacy