Wei-Ning Chen
14 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
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Deep Specialist
(10)
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Dynamic Duo
(11)
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Century Club Β· Bronze
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Keyword Collector
(60)
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Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Application Areas
(11)
Mathematics & Optimization
(9)
Optimization & Theory
(8)
Optimization
(7)
Artificial Intelligence
(5)
Mathematics
(5)
Security & Privacy
(4)
Differential Privacy
(4)
Learning Paradigms Β· Machine Learning
(4)
Learning Paradigms Β· Artificial Intelligence
(4)
Computer Science
(1)
Deep Learning
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
differential privacy
(10)
federated learning
(5)
distributed mean estimation
(4)
secure aggregation
(4)
communication efficiency
(3)
communication constraint
(3)
privacy amplification
(2)
local differential privacy
(2)
information theory
(2)
frequency estimation
(2)
distribution estimation
(2)
communication complexity
(2)
experiment design
(1)
sample complexity
(1)
sparse distribution
(1)
optimal transport
(1)
fisher information
(1)
confidence interval
(1)
mean estimation
(1)
privacy-utility trade-off
(1)
Papers
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
ICML 2025
Federated Experiment Design under Distributed Differential Privacy
AISTATS 2024
Improved Communication-Privacy Trade-offs in L_2 Mean Estimation under Streaming Differential Privacy
ICML 2024
Universal Exact Compression of Differentially Private Mechanisms
NeurIPS 2024
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
NeurIPS 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
NeurIPS 2023
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation
NeurIPS 2023
The communication cost of security and privacy in federated frequency estimation
AISTATS 2023
Optimal Compression of Locally Differentially Private Mechanisms
AISTATS 2022
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
ICML 2022
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
ICML 2022
Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints
COLT 2021
Pointwise Bounds for Distribution Estimation under Communication Constraints
NeurIPS 2021
Breaking the Communication-Privacy-Accuracy Trilemma
NeurIPS 2020