Yae Jee Cho
5 papers · 2022–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🗺️
Taxonomy Completionist
(11)
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Hot Topic Early Bird
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Learning Paradigms · Artificial Intelligence
(5)
Learning Paradigms · Machine Learning
(3)
Application Areas
(2)
Optimization & Theory · Machine Learning
(2)
Deep Learning
(1)
Core AI
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
federated learning
(4)
knowledge distillation
(2)
convergence analysis
(2)
model compression
(2)
label efficiency
(1)
data heterogeneity
(1)
client sampling
(1)
foundation model
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
heterogeneous data
(1)
edge computing
(1)
client selection
(1)
federated averaging
(1)
partial participation
(1)
cyclic client participation
(1)
asymptotic convergence rate
(1)
heterogeneous training
(1)
heterogeneous ensemble
(1)
knowledge assimilation
(1)
Papers
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
EMNLP 2024
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
ICCV 2023
On the Convergence of Federated Averaging with Cyclic Client Participation
ICML 2023
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
IJCAI 2022
Towards Understanding Biased Client Selection in Federated Learning
AISTATS 2022