Xiangyi Chen
Orcid: 0000-0001-5549-5336
According to our database1,
Xiangyi Chen
authored at least 27 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Federated Learning With Dynamic Epoch Adjustment and Collaborative Training in Mobile Edge Computing.
IEEE Trans. Mob. Comput., May, 2024
2023
Traffic Prediction-Assisted Federated Deep Reinforcement Learning for Service Migration in Digital Twins-Enabled MEC Networks.
IEEE J. Sel. Areas Commun., October, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Nucleic Acids Res., 2022
Distributed Computation Offloading and Trajectory Optimization in Multi-UAV-Enabled Edge Computing.
IEEE Internet Things J., 2022
Dynamic Service Migration and Request Routing for Microservice in Multicell Mobile-Edge Computing.
IEEE Internet Things J., 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Asian Conference on Machine Learning, 2022
2021
Deep Learning-Based Traffic Prediction for Energy Efficiency Optimization in Software-Defined Networking.
IEEE Syst. J., 2021
2020
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020
2019
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
IEEE Wirel. Commun. Lett., 2018
IEEE Trans. Signal Process., 2018
2017
Learning to optimize: Training deep neural networks for wireless resource management.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017
Secret-Sharing Approach for Detecting Compromised Mobile Sink in Unattended Wireless Sensor Networks.
Proceedings of the Mobile Ad-hoc and Sensor Networks - 13th International Conference, 2017
2013
Int. J. Distributed Sens. Networks, 2013
2009
Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009
2008
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008