Wei-Ning Chen
14 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Conference Polyglot (4) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (8)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(22)
π§
Keyword Pioneer
π
Keyword Champion
(4)
π¬
Deep Specialist
(10)
π€
Dynamic Duo
(11)
π
Century Club
(14)
π₯
Unstoppable
(6)
Conferences
NIPS (6)
ICML (4)
AISTATS (3)
COLT (1)
Top co-authors
Research topics
Keywords
differential privacy
(9)
federated learning
(5)
secure aggregation
(4)
distributed mean estimation
(4)
communication efficiency
(3)
communication constraint
(3)
communication complexity
(2)
information theory
(2)
local differential privacy
(2)
frequency estimation
(2)
communication compression
(1)
experiment design
(1)
distributed learning
(1)
graph convolution
(1)
sparse distribution
(1)
privacy protection
(1)
confidence interval
(1)
fisher information
(1)
privacy-utility trade-off
(1)
node classification
(1)
Papers
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
ICML 2025
Universal Exact Compression of Differentially Private Mechanisms
NIPS 2024
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy
ICML 2024
Federated Experiment Design under Distributed Differential Privacy
AISTATS 2024
The communication cost of security and privacy in federated frequency estimation
AISTATS 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
NIPS 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
NIPS 2023
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation
NIPS 2023
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
Optimal Compression of Locally Differentially Private Mechanisms
AISTATS 2022
Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints
COLT 2021
Pointwise Bounds for Distribution Estimation under Communication Constraints
NIPS 2021
Breaking the Communication-Privacy-Accuracy Trilemma
NIPS 2020