Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
AdaCoOpt: Leverage the interplay of batch size and aggregation frequency for federated learning
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, and Xu Chen, IEEE IWQoS 2023 (Best Paper Candidate, top 7 in 264 submissions)
[Paper]
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Datasets
This paper investigates the interplay between the mini-batch size and number of local updates in federated learning.
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou and Xu Chen, IEEE Transactions on Mobile Computing
[Paper]
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
This paper provides the first investigation into the hidden over-correction phenomenon in federated learning.
Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith Ngai, Jingpu Duan, Deke Guo, Xu Chen, and Xiaoxi Zhang, IEEE ICDCS 2025
[Paper]
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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