Wei-Ning Chen

14 papers · 2020–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (5) 🗺️ Taxonomy Completionist (22) 🧭 Keyword Pioneer 🏆 Keyword Champion (4) 🔬 Deep Specialist (10) 🤝 Dynamic Duo (11) 💎 Century Club (14) 🔥 Unstoppable (6)

Conferences

NIPS (6) ICML (4) AISTATS (3) COLT (1)

Top co-authors

Ayfer Ozgur (11) Peter Kairouz (8) Albert No (2) Akash Bharadwaj (2) Berivan Isik (2) Graham Cormode (2) Chao Pan (1) Peter Romov (1) Ananda Theertha Suresh (1) Abhin Shah (1)

Research topics

Differential Privacy (4) Optimization & Theory (1) Privacy (1)

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