Moming Duan

Orcid: 0000-0001-5402-6634

According to our database1, Moming Duan authored at least 22 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
ModelGo: A Practical Tool for Machine Learning License Analysis.
Proceedings of the ACM on Web Conference 2024, 2024

2023
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework.
IEEE Trans. Parallel Distributed Syst., March, 2023

LFPR: A Lazy Fast Predictive Repair Strategy for Mobile Distributed Erasure Coded Cluster.
IEEE Internet Things J., 2023

Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives.
CoRR, 2023

Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market.
CoRR, 2023

2022
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift.
IEEE Trans. Parallel Distributed Syst., 2022

Federated learning with workload-aware client scheduling in heterogeneous systems.
Neural Networks, 2022

Lazy repair with temporary redundancy(LRTR): reducing repair network traffic in erasure-coded storage.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021
Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems.
IEEE Trans. Parallel Distributed Syst., 2021

A machine learning assisted data placement mechanism for hybrid storage systems.
J. Syst. Archit., 2021

Flexible Clustered Federated Learning for Client-Level Data Distribution Shift.
CoRR, 2021

FedGroup: Efficient Federated Learning via Decomposed Similarity-Based Clustering.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework.
Proceedings of the International Joint Conference on Neural Networks, 2021

FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems.
Proceedings of the International Joint Conference on Neural Networks, 2021

Forseti: An Efficient Basic-block-level Sensitivity Analysis Framework Towards Multi-bit Faults.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
FedGroup: Ternary Cosine Similarity-based Clustered Federated Learning Framework toward High Accuracy in Heterogeneous Data.
CoRR, 2020

2019
FitCNN: A cloud-assisted and low-cost framework for updating CNNs on IoT devices.
Future Gener. Comput. Syst., 2019

Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications.
CoRR, 2019

Archivist: A Machine Learning Assisted Data Placement Mechanism for Hybrid Storage Systems.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019

Astraea: Self-Balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019

Reducing Write Amplification for Inodes of Journaling File System using Persistent Memory.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
TaiJiNet: Towards Partial Binarized Convolutional Neural Network for Embedded Systems.
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018


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