Mingjia Shi

Orcid: 0000-0002-9988-3741

According to our database1, Mingjia Shi authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation.
CoRR, 2024

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training.
CoRR, 2024

2023
DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
CoRR, 2023

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence.
CoRR, 2023

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Correction to: FLSGD: free local SGD with parallel synchronization.
J. Supercomput., 2022

FLSGD: free local SGD with parallel synchronization.
J. Supercomput., 2022

Personalized Federated Learning with Hidden Information on Personalized Prior.
CoRR, 2022

2020
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training.
CoRR, 2020


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