Huancheng Chen
4 papers · 2023–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(12)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Application Areas
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
federated learning
(4)
knowledge distillation
(1)
convergence analysis
(1)
local updates
(1)
communication efficiency
(1)
convergence rate
(1)
data heterogeneity
(1)
client sampling
(1)
personalized model
(1)
model convergence
(1)
client selection
(1)
non-iid data
(1)
statistical heterogeneity
(1)
clustered sampling
(1)
mixed-precision quantization
(1)
gradient inversion
(1)
least-square problem
(1)
label recovery
(1)
heterogeneous device
(1)
global model aggregation
(1)
Papers
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning
NeurIPS 2024
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices
CVPR 2024
Recovering Labels from Local Updates in Federated Learning
ICML 2024
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
ICLR 2023