We stand with Ukraine

We stand with Ukraine

Feng Zhu

Orcid: 0000-0002-4661-0686

Affiliations:

North Carolina State University, Department of Electrical and Computer Engineering, Raleigh, NC, USA
Fudan University, School of Information Science and Technology, Shanghai, China (former)

According to our database¹, Feng Zhu authored at least 8 papers between 2022 and 2026.

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

2026

A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms.

[DOI]

,

Robert W. Heath Jr.

,

CoRR, February, 2026

Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling.

[DOI]

,

,

Robert W. Heath Jr.

Trans. Mach. Learn. Res., 2026

2025

Distributed Stochastic Approximation with Constant Communication.

[DOI]

,

,

Robert W. Heath Jr.

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

STSyn: Speeding Up Local SGD With Straggler-Tolerant Synchronization.

[DOI]

,

,

IEEE Trans. Signal Process., 2024

Towards Fast Rates for Federated and Multi-Task Reinforcement Learning.

[DOI]

,

Robert W. Heath Jr.

,

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Communication-efficient local SGD with age-based worker selection.

[DOI]

,

,

J. Supercomput., August, 2023

DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data.

[DOI]

,

,

,

CoRR, 2023

2022

Adaptive Worker Grouping for Communication-Efficient and Straggler-Tolerant Distributed SGD.

[DOI]

,

,

Osvaldo Simeone

,

Proceedings of the IEEE International Symposium on Information Theory, 2022

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