Jian Xu

Orcid: 0000-0001-6201-9215

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

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
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Stabilizing and improving federated learning with highly non-iid data and client dropout.
Appl. Intell., February, 2025

2024
FedHAP: Federated Hashing With Global Prototypes for Cross-Silo Retrieval.
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
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout.
CoRR, 2023

Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Personalized Federated Learning with Feature Alignment and Classifier Collaboration.
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

Byzantine-Resilient Decentralized Collaborative Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Federated Capsule Graph Neural Network with Personalization.
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

Live Gradient Compensation for Evading Stragglers in Distributed Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021


  Loading...