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Lydia Y. Chen
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Publications
- 2024
- [i44]Mohamed Rashad, Zilong Zhao, Jeremie Decouchant, Lydia Y. Chen:
TabVFL: Improving Latent Representation in Vertical Federated Learning. CoRR abs/2404.17990 (2024) - [i41]Abele Malan, Jérémie Decouchant, Thiago Guzella, Lydia Y. Chen:
CCBNet: Confidential Collaborative Bayesian Networks Inference. CoRR abs/2405.15055 (2024) - [i39]Aditya Shankar, Lydia Y. Chen, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai:
Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning. CoRR abs/2405.20761 (2024) - [i38]Bart Cox, Abele Malan, Lydia Y. Chen, Jérémie Decouchant:
Asynchronous Byzantine Federated Learning. CoRR abs/2406.01438 (2024) - [i37]Yuncong Zuo, Bart Cox, Lydia Y. Chen, Jérémie Decouchant:
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. CoRR abs/2406.01439 (2024) - [i36]Bart Cox, Jeroen Galjaard, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen:
Parameterizing Federated Continual Learning for Reproducible Research. CoRR abs/2406.02015 (2024) - 2022
- [c109]Bart Cox, Lydia Y. Chen, Jérémie Decouchant:
Aergia: leveraging heterogeneity in federated learning systems. Middleware 2022: 107-120 - [c108]Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant:
AGIC: Approximate Gradient Inversion Attack on Federated Learning. SRDS 2022: 12-22 - [i27]Federico Lucchetti, Jérémie Decouchant, Maria Fernandes, Lydia Y. Chen, Marcus Völp:
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets. CoRR abs/2204.11017 (2022) - [i26]Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant:
AGIC: Approximate Gradient Inversion Attack on Federated Learning. CoRR abs/2204.13784 (2022) - [i24]Bart Cox, Lydia Y. Chen, Jérémie Decouchant:
Aergia: Leveraging Heterogeneity in Federated Learning Systems. CoRR abs/2210.06154 (2022)
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last updated on 2024-09-10 02:10 CEST by the dblp team
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