Qianyu Long

q.long.1@research.gla.ac.uk

Research title: Distributed Statistical Learning over Data Streams at the Network Edge

Research Summary

My research interests are as follows: Distributed Computing, Machine/Statistical Learning, Edge/Fog Computing. 

 

Current research

  • Model reuse in edge computing paradigms.

 

Research group

My research will be conducted in collaboration with the Essence Lab, IDA Section, School of Computing Science.

Publications

List by: Type | Date

Jump to: 2023 | 2022
Number of items: 2.

2023

Long, Q. , Anagnostopoulos, C. , Puthiya, S. and Bi, D. (2023) FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization. In: IEEE ICDM 2023, Shanghai, China, 1-4 December 2023, (Accepted for Publication)

2022

Long, Q. , Kolomvatsos, K. and Anagnostopoulos, C. (2022) Knowledge reuse in edge computing environments. Journal of Network and Computer Applications, 206, 103466. (doi: 10.1016/j.jnca.2022.103466)

This list was generated on Thu Sep 28 21:53:39 2023 BST.
Number of items: 2.

Articles

Long, Q. , Kolomvatsos, K. and Anagnostopoulos, C. (2022) Knowledge reuse in edge computing environments. Journal of Network and Computer Applications, 206, 103466. (doi: 10.1016/j.jnca.2022.103466)

Conference Proceedings

Long, Q. , Anagnostopoulos, C. , Puthiya, S. and Bi, D. (2023) FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization. In: IEEE ICDM 2023, Shanghai, China, 1-4 December 2023, (Accepted for Publication)

This list was generated on Thu Sep 28 21:53:39 2023 BST.