Lydia Y. Chen

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 162

Top Venues

CoRR

Future Gener. Comput. Syst.

IEEE Trans. Parallel Distributed Syst.

ICAC

Publications

Aditya Shankar, Lydia Y. Chen, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai
Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning. CoRR (2024)
Yuncong Zuo, Bart Cox, Lydia Y. Chen, Jérémie Decouchant
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. CoRR (2024)
Bart Cox, Abele Malan, Lydia Y. Chen, Jérémie Decouchant
Asynchronous Byzantine Federated Learning. CoRR (2024)
Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen
Duwak: Dual Watermarks in Large Language Models. CoRR (2024)
Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen
On Dark Knowledge for Distilling Generators. PAKDD (2) (2024)
Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen
DALLMi: Domain Adaption for LLM-based Multi-label Classifier. CoRR (2024)
Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen
ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge. IEEE Trans. Computers 73 (6) (2024)
Bart Cox, Jeroen Galjaard, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen
Parameterizing Federated Continual Learning for Reproducible Research. CoRR (2024)
Abele Malan, Jérémie Decouchant, Thiago Guzella, Lydia Y. Chen
CCBNet: Confidential Collaborative Bayesian Networks Inference. CoRR (2024)
Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen
SFDDM: Single-fold Distillation for Diffusion models. CoRR (2024)
Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen
DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. PAKDD (3) (2024)
Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen
Duwak: Dual Watermarks in Large Language Models. ACL (Findings) (2024)
Lydia Y. Chen
Trustworthy Federated Learning Systems. CLOSER (2024)
Zilong Zhao, Aditya Kunar, Robert Birke, Hiek Van der Scheer, Lydia Y. Chen
CTAB-GAN+: enhancing tabular data synthesis. Frontiers Big Data 6 (2024)
Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen
SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. CoRR (2024)
Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos
Gradient Inversion of Federated Diffusion Models. CoRR (2024)
Chaoyi Zhu, Jiayi Tang, Hans Brouwer, Juan F. Pérez, Marten van Dijk, Lydia Y. Chen
Quantifying and Mitigating Privacy Risks for Tabular Generative Models. CoRR (2024)
Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen
S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. ICDE (2024)
Xiaojiang Zuo, Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoyin Wang, Lydia Y. Chen
FedViT: Federated continual learning of vision transformer at edge. Future Gener. Comput. Syst. 154 (2024)
Caspar Meijer, Lydia Y. Chen
The Rise of Diffusion Models in Time-Series Forecasting. CoRR (2024)
Mohamed Rashad, Zilong Zhao, Jeremie Decouchant, Lydia Y. Chen
TabVFL: Improving Latent Representation in Vertical Federated Learning. CoRR (2024)
Zilong Zhao, Han Wu, Aad van Moorsel, Lydia Y. Chen
GTV: Generating Tabular Data via Vertical Federated Learning. CoRR (2023)
Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen
EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge. ICDE (2023)
Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. ICDE (2023)
Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen
Exploring and Exploiting Data-Free Model Stealing. ECML/PKDD (5) (2023)
Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos
Maverick Matters: Client Contribution and Selection in Federated Learning. PAKDD (2) (2023)
Zilong Zhao, Robert Birke, Lydia Y. Chen
GDTS: GAN-Based Distributed Tabular Synthesizer. CLOUD (2023)
Yasmine Djebrouni, Isabelly Rocha, Sara Bouchenak, Lydia Y. Chen, Pascal Felber, Vania Marangozova, Valerio Schiavoni
Characterizing Distributed Machine Learning Workloads on Apache Spark: (Experimentation and Deployment Paper). Middleware (2023)
Shilin Wen, Rui Han, Chi Harold Liu, Lydia Y. Chen
Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs. J. Cloud Comput. 12 (1) (2023)
Jeroen M. Galjaard, Robert Birke, Juan F. Pérez, Lydia Y. Chen
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise. CoRR (2023)
Zilong Zhao, Robert Birke, Lydia Y. Chen
TabuLa: Harnessing Language Models for Tabular Data Synthesis. CoRR (2023)
Jui-Yi Tsai, Ya-Wen Teng, Ho Chiok Yew, De-Nian Yang, Lydia Y. Chen
CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model. CoRR (2023)
Zilong Zhao, Jiyue Huang, Lydia Y. Chen, Stefanie Roos
Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks. FC (2023)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Robust Learning via Golden Symmetric Loss of (un)Trusted Labels. SDM (2023)
Zilong Zhao, Robert Birke, Lydia Y. Chen
FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform. CIKM (2023)
Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning. ICML (2023)
Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos
Fabricated Flips: Poisoning Federated Learning without Data. DSN (2023)
Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang
Targeted Influence with Community and Gender-Aware Seeding. CIKM (2022)
Bart Cox, Lydia Y. Chen, Jérémie Decouchant
Aergia: leveraging heterogeneity in federated learning systems. Middleware (2022)
Federico Lucchetti, Jérémie Decouchant, Maria Fernandes, Lydia Y. Chen, Marcus Völp
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets. CoRR (2022)
Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. CoRR (2022)
Zilong Zhao, Robert Birke, Lydia Y. Chen
FCT-GAN: Enhancing Table Synthesis via Fourier Transform. CoRR (2022)
Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen
Permutation-Invariant Tabular Data Synthesis. CoRR (2022)
Bart Cox, Robert Birke, Lydia Y. Chen
Memory-aware and context-aware multi-DNN inference on the edge. Pervasive Mob. Comput. 83 (2022)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
LABNET: A Collaborative Method for DNN Training and Label Aggregation. ICAART (2) (2022)
Rui Han, Shilin Wen, Chi Harold Liu, Ye Yuan, Guoren Wang, Lydia Y. Chen
EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources. INFOCOM (2022)
Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang
Targeted Influence with Community and Gender-Aware Seeding. CoRR (2022)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Multi Label Loss Correction against Missing and Corrupted Labels. ACML (2022)
Christopher Stewart, Nathaniel Morris, Lydia Y. Chen, Robert Birke
Performance Modeling for Short-Term Cache Allocation. ICPP (2022)
Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant
AGIC: Approximate Gradient Inversion Attack on Federated Learning. SRDS (2022)
Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen
Permutation-Invariant Tabular Data Synthesis. Big Data (2022)
Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos
Blind leads Blind: A Zero-Knowledge Attack on Federated Learning. CoRR (2022)
Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen
Trusted Loss Correction for Noisy Multi-Label Learning. ACML (2022)
Isabelly Rocha, Pascal Felber, Valerio Schiavoni, Lydia Y. Chen
EdgeTune: Inference-Aware Multi-Parameter Tuning. Middleware (2022)
Jin Wang, Hui Han, Hao Li, Shiming He, Pradip Kumar Sharma, Lydia Y. Chen
Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G. IEEE Trans. Ind. Informatics 18 (3) (2022)
Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen
CTAB-GAN+: Enhancing Tabular Data Synthesis. CoRR (2022)
Qinglong Zhang, Rui Han, Gaofeng Xin, Chi Harold Liu, Guoren Wang, Lydia Y. Chen
Lightweight and Accurate DNN-Based Anomaly Detection at Edge. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Zilong Zhao, Jiyue Huang, Stefanie Roos, Lydia Y. Chen
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN. CoRR (2022)
Jianxin R. Zhao, Rui Han, Yongkai Yang, Benjamin Catterall, Chi Harold Liu, Lydia Y. Chen, Richard Mortier, Jon Crowcroft, Liang Wang
Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge. IEEE Trans. Serv. Comput. 15 (2) (2022)
Chi Hong, Jiyue Huang, Lydia Y. Chen
MEGA: Model Stealing via Collaborative Generator-Substitute Networks. CoRR (2022)
Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. ISSRE (2022)
Bart Cox, Lydia Y. Chen, Jérémie Decouchant
Aergia: Leveraging Heterogeneity in Federated Learning Systems. CoRR (2022)
Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant
AGIC: Approximate Gradient Inversion Attack on Federated Learning. CoRR (2022)
Rui Han, Dong Li, Junyan Ouyang, Chi Harold Liu, Guoren Wang, Dapeng Wu, Lydia Y. Chen
Accurate Differentially Private Deep Learning on the Edge. IEEE Trans. Parallel Distributed Syst. 32 (9) (2021)
Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators. CoRR (2021)
Jeroen Galjaard, Bart Cox, Amirmasoud Ghiassi, Lydia Y. Chen, Robert Birke
MemA: Fast Inference of Multiple Deep Models. PerCom Workshops (2021)
Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning. CoRR (2021)
Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen
CTAB-GAN: Effective Table Data Synthesizing. ACML (2021)
Zilong Zhao, Robert Birke, Aditya Kunar, Lydia Y. Chen
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data. CoRR (2021)
Robert Birke, Juan F. Pérez, Zhan Qiu, Mathias Björkqvist, Lydia Y. Chen
sPARE: Partial Replication for Multi-Tier Applications in the Cloud. IEEE Trans. Serv. Comput. 14 (2) (2021)
Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision. CoRR (2021)
Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
Enhancing Robustness of On-Line Learning Models on Highly Noisy Data. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Nur Zincir-Heywood, Giuliano Casale, David Carrera, Lydia Y. Chen, Amogh Dhamdhere, Takeru Inoue, Hanan Lutfiyya, Taghrid Samak
Guest Editorial: Special Issue on Data Analytics and Machine Learning for Network and Service Management - Part II. IEEE Trans. Netw. Serv. Manag. 18 (1) (2021)
Rui Han, Chi Harold Liu, Shilin Li, Lydia Y. Chen, Guoren Wang, Jian Tang, Jieping Ye
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Hao Li, Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Y. Chen, Keqin Li
SGD$\_$_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Florin Ciucu, Felix Poloczek, Lydia Y. Chen, Martin Chan
Practical Analysis of Replication-Based Systems. INFOCOM (2021)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. BDCAT (2021)
Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
QActor: Active Learning on Noisy Labels. ACML (2021)
Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen
Online Label Aggregation: A Variational Bayesian Approach. WWW (2021)
Zilong Zhao, Aditya Kunar, Hiek Van der Scheer, Robert Birke, Lydia Y. Chen
CTAB-GAN: Effective Table Data Synthesizing. CoRR (2021)
Rui Han, Shilin Li, Xiangwei Wang, Chi Harold Liu, Gaofeng Xin, Lydia Y. Chen
Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Ben Proven-Bessel, Zilong Zhao, Lydia Y. Chen
ComicGAN: Text-to-Comic Generative Adversarial Network. CoRR (2021)
Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen
LegoDNN: block-grained scaling of deep neural networks for mobile vision. MobiCom (2021)
Sophie Cerf, Sara Bouchenak, Bogdan Robu, Nicolas Marchand, Vincent Primault, Sonia Ben Mokhtar, Antoine Boutet, Lydia Y. Chen
Automatic Privacy and Utility Preservation for Mobility Data: A Nonlinear Model-Based Approach. IEEE Trans. Dependable Secur. Comput. 18 (1) (2021)
Aditya Kunar, Robert Birke, Zilong Zhao, Lydia Y. Chen
DTGAN: Differential Private Training for Tabular GANs. CoRR (2021)
Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
Enhancing Robustness of On-line Learning Models on Highly Noisy Data. CoRR (2021)
Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
LABELNET: Recovering Noisy Labels. IJCNN (2021)
Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Masa: Responsive Multi-DNN Inference on the Edge. PerCom (2021)
Zixuan Li, Hao Li, Kenli Li, Fan Wu, Lydia Y. Chen, Keqin Li
Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis. CoRR (2021)
Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Artifact: Masa: Responsive Multi-DNN Inference on the Edge. PerCom Workshops (2021)
Arwen Teng, Ting-Wei Li, Yu-chi Liao, Hsi-Wen Chen, Yvonne-Anne Pignolet, De-Nian Yang, Lydia Y. Chen
On Influencing the Influential: Disparity Seeding. CoRR (2020)
Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. CoRR (2020)
Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CoRR (2020)
Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. Middleware (2020)
A. Nur Zincir-Heywood, Giuliano Casale, David Carrera, Lydia Y. Chen, Amogh Dhamdhere, Takeru Inoue, Hanan Lutfiyya, Taghrid Samak
Guest Editorial: Special Section on Data Analytics and Machine Learning for Network and Service Management-Part I. IEEE Trans. Netw. Serv. Manag. 17 (4) (2020)
Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak, Lydia Y. Chen, Stefanie Roos
An Exploratory Analysis on Users' Contributions in Federated Learning. CoRR (2020)
Rajiv Ranjan, Ching-Hsien Hsu, Lydia Y. Chen, Dimitrios Georgakopoulos
Holistic Technologies for Managing Internet of Things Services. IEEE Trans. Serv. Comput. 13 (4) (2020)
Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CogMI (2020)
Taraneh Younesian, Dick H. J. Epema, Lydia Y. Chen
Active Learning for Noisy Data Streams Using Weak and Strong Labelers. CoRR (2020)
Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lydia Y. Chen