Syed Zawad

Syed Zawad

University of Nevada, Reno

H-index: 7

North America-United States

About Syed Zawad

Syed Zawad, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Nevada, Reno, specializes in the field of Machine Learning, Distributed Systems, Cloud Computing, Federated Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hyperparameter tuning for federated learning–systems and practices

Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach

AdaSR: Adaptive Super Resolution for Cross Platform and Dynamic Runtime Environments

Scheduled federated learning for enhanced search

AI augmented Edge and Fog computing: Trends and challenges

HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework

Tokenized federated learning

Straggler Management

Syed Zawad Information

University

Position

PhD. Student

Citations(all)

366

Citations(since 2020)

365

Cited By

29

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Syed Zawad Skills & Research Interests

Machine Learning

Distributed Systems

Cloud Computing

Federated Learning

Top articles of Syed Zawad

Hyperparameter tuning for federated learning–systems and practices

2024/1/1

Syed Zawad
Syed Zawad

H-Index: 3

Feng Yan
Feng Yan

H-Index: 13

Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach

arXiv preprint arXiv:2312.05642

2023/12/9

AdaSR: Adaptive Super Resolution for Cross Platform and Dynamic Runtime Environments

2023/10/13

Scheduled federated learning for enhanced search

2023/9/12

AI augmented Edge and Fog computing: Trends and challenges

2023/5/3

HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework

2023/5/1

Tokenized federated learning

2023/1/19

Straggler Management

2022/2/8

Introduction to federated learning systems

2022/2/8

Local Training and Scalability of Federated Learning Systems

2022/2/8

Systems bias in federated learning

2022/2/8

Towards Scalable, Private and Practical Deep Learning

2022

Syed Zawad
Syed Zawad

H-Index: 3

Heterogeneity-aware adaptive federated learning scheduling

2022/12/17

DySR: Adaptive Super-Resolution via Algorithm and System Co-design

2022/9/29

Byzantine-robust federated learning

2022/9/15

Tiff: Tokenized incentive for federated learning

2022/7/10

Tokenized incentive for federated learning

Proceedings of the AAAI Conference on Artificial Intelligence

2022/7

Smlt: A serverless framework for scalable and adaptive machine learning design and training

arXiv preprint arXiv:2205.01853

2022/5/4

Demystifying hyperparameter optimization in federated learning

2021/10/6

Curse or redemption? how data heterogeneity affects the robustness of federated learning

Proceedings of the AAAI conference on artificial intelligence

2021/5/18

See List of Professors in Syed Zawad University(University of Nevada, Reno)

Co-Authors

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