Jian Xu
Orcid: 0000-0001-6201-9215Affiliations:
- Tsinghua University, Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, China
According to our database1,
Jian Xu
authored at least 18 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
2021
2022
2023
2024
2025
0
1
2
3
4
5
6
7
1
4
1
1
1
3
6
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Stabilizing and improving federated learning with highly non-iid data and client dropout.
Appl. Intell., February, 2025
2024
IEEE Trans. Parallel Distributed Syst., April, 2024
On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics.
IEEE J. Sel. Areas Inf. Theory, 2024
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting.
CoRR, 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning.
CoRR, 2024
NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
CoRR, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication.
Proceedings of the IEEE Information Theory Workshop, 2022
FedPer++: Toward Improved Personalized Federated Learning on Heterogeneous and Imbalanced Data.
Proceedings of the International Joint Conference on Neural Networks, 2022
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022
2021
SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering.
CoRR, 2021
Proceedings of the 40th IEEE Conference on Computer Communications, 2021