Zihao Zhao

Orcid: 0000-0001-7173-3226

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Zihao Zhao authored at least 12 papers between 2022 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy.
IEEE Trans. Mob. Comput., June, 2024

SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications.
IEEE Trans. Mob. Comput., May, 2024

Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach.
CoRR, 2024

Federated PAC-Bayesian Learning on Non-IID Data.
Proceedings of the IEEE International Conference on Acoustics, 2024

Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Towards efficient communications in federated learning: A contemporary survey.
J. Frankl. Inst., 2023

Federated PAC-Bayesian Learning on Non-IID data.
CoRR, 2023

AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients.
CoRR, 2023

Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

2022
Communication-Efficient Federated Learning with Adaptive Quantization.
ACM Trans. Intell. Syst. Technol., 2022

MAGLeak: A Learning-Based Side-Channel Attack for Password Recognition With Multiple Sensors in IIoT Environment.
IEEE Trans. Ind. Informatics, 2022

Deep Leakage from Model in Federated Learning.
CoRR, 2022


  Loading...