Jingwei Sun
Orcid: 0000-0001-7058-5794Affiliations:
- Duke University, Durham, NC, USA
According to our database1,
Jingwei Sun
authored at least 20 papers
between 2020 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents.
CoRR, 2023
SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models.
CoRR, 2023
CoRR, 2023
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information.
CoRR, 2023
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties.
CoRR, 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction.
Proceedings of the International Conference on Machine Learning, 2023
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
2022
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System.
CoRR, 2022
FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022
2021
FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning.
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective.
CoRR, 2020
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets.
CoRR, 2020