Wenrui Yu

17 papers Misc 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Characterizing Memorization in Diffusion Language Models: Generalized Extraction and Sampling Effects.
CoRR
Xiaoyu Luo, Wenrui Yu, Qiongxiu Li, Johannes Bjerva
2026 J jnl
When Is Distributed Nonlinear Aggregation Private? Optimality and Information-Theoretical Bounds.
CoRR
Wenrui Yu, Jaron Skovsted Gundersen, Richard Heusdens, Qiongxiu Li
2025 — conf
Byzantine-Resilient Federated Learning via Distributed Optimization.
EUSIPCO
Yufei Xia, Wenrui Yu, Qiongxiu Li
2025 J jnl
Byzantine-Resilient Federated Learning via Distributed Optimization.
CoRR
Yufei Xia, Wenrui Yu, Qiongxiu Li
2025 J jnl
Configuration Synthesis of a Spherical Coaxial-Actuated Parallel Mechanism for In-Situ Machining Robots.
IEEE Access
Yang Qi, Yuhuan Wu, Wenrui Yu
2025 J jnl
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges.
CoRR
Qiongxiu Li, Wenrui Yu, Yufei Xia, Jun Pang
2025 J jnl
LAGO: Few-shot Crosslingual Embedding Inversion Attacks via Language Similarity-Aware Graph Optimization.
CoRR
Wenrui Yu, Yiyi Chen, Johannes Bjerva, Sokol Kosta, Qiongxiu Li
2025 — conf
Optimal Privacy-Preserving Distributed Median Consensus.
EUSIPCO
Wenrui Yu, Qiongxiu Li, Richard Heusdens, Sokol Kosta
2025 Misc conf
Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss.
ICASSP
Wenrui Yu, Richard Heusdens, Jun Pang, Qiongxiu Li
2025 J jnl
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization.
IEEE Trans. Inf. Forensics Secur.
Wenrui Yu, Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Mads Græsbøll Christensen, Richard Heusdens
2024 — conf
On the Privacy Bound of Distributed Optimization and its Application in Federated Learning.
EUSIPCO
Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Wenrui Yu, Richard Heusdens
2024 J jnl
Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss.
CoRR
Wenrui Yu, Richard Heusdens, Jun Pang, Qiongxiu Li
2024 J jnl
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization.
CoRR
Wenrui Yu, Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Mads Græsbøll Christensen, Richard Heusdens
2024 Misc conf
Topology-Dependent Privacy Bound for Decentralized Federated Learning.
ICASSP
Qiongxiu Li, Wenrui Yu, Changlong Ji, Richard Heusdens
2023 J jnl
The Combined Strategy of Energy Replenishment and Data Collection in Heterogenous Wireless Rechargeable Sensor Networks.
IEEE Syst. J.
Yaqian Chen, Wanguo Jiao, Wenrui Yu
2023 J jnl
Topology-Dependent Privacy Bound For Decentralized Federated Learning.
CoRR
Qiongxiu Li, Wenrui Yu, Changlong Ji, Richard Heusdens
2012 J jnl
Geometry-Invariant Texture Retrieval Using a Dual-Output Pulse-Coupled Neural Network.
Neural Comput.
Xiaojun Li, Yide Ma, Zhaobin Wang, Wenrui Yu