Yae Jee Cho
5 papers · 2022–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (12)
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Hot Topic Early Bird
Conferences
AISTATS (1)
EMNLP (1)
ICCV (1)
ICML (1)
IJCAI (1)
Top co-authors
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 datum
(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
Towards Understanding Biased Client Selection in Federated Learning
AISTATS 2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
IJCAI 2022