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Works (4)

HaloFL: Efficient Heterogeneity-Aware Federated Learning Through Optimal Submodel Extraction and Dynamic Sparse Adjustment

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
2025 | Journal article
DOI: 10.1109/TCAD.2025.3548003
Contributors: Zirui Lian; Qianyue Cao; Chao Liang; Jing Cao; Zongwei Zhu; Zhi Yang; Cheng Ji; Changlong Li; Xuehai Zhou
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GOFL: An Accurate and Efficient Federated Learning Framework Based on Gradient Optimization in Heterogeneous IoT Systems

IEEE Internet of Things Journal
2024 | Journal article
DOI: 10.1109/JIOT.2023.3333419
Contributors: Zirui Lian; Jing Cao; Zongwei Zhu; Xuehai Zhou; Weihong Liu
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Arch2End: Two-Stage Unified System-Level Modeling for Heterogeneous Intelligent Devices

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
2024-11 | Journal article
DOI: 10.1109/TCAD.2024.3443706
Contributors: Weihong Liu; Zongwei Zhu; Boyu Li; Yi Xiong; Zirui Lian; Jiawei Geng; Xuehai Zhou
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NebulaFL: Self-Organizing Efficient Multilayer Federated Learning Framework With Adaptive Load Tuning in Heterogeneous Edge Systems

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
2024-11 | Journal article
DOI: 10.1109/TCAD.2024.3443715
Contributors: Zirui Lian; Jing Cao; Qianyue Cao; Weihong Liu; Zongwei Zhu; Xuehai Zhou
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