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THE STATE KEY LA... [2]
Authors
LI LI [1]
Document Type
Conference paper [2]
Date Issued
2024 [2]
Language
英語English [2]
Source Publication
2024 IEEE/ACM 32... [1]
32nd IEEE/ACM In... [1]
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Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks
Conference paper
Zhan, Shichen, Wu, Yebo, Tian, Chunlin, Zhao, Yan, Li, Li. Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:
Zhan, Shichen
;
Wu, Yebo
;
Tian, Chunlin
;
Zhao, Yan
;
Li, Li
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TC[WOS]:
0
TC[Scopus]:
1
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Submit date:2024/11/05
Federated Learning
Pre-training
Resource-efficient
Training
Performance Evaluation
Energy Consumption
Accuracy
Memory Management
Quality Of Service
PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity
Conference paper
Meihan Wu, Li Li, Tao Chang, Jie Zhou, Cui Miao, Xiaodong Wang, ChengZhong Xu, Rigall, Eric. PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 202971.
Authors:
Meihan Wu
;
Li Li
;
Tao Chang
;
Jie Zhou
;
Cui Miao
; et al.
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TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2024/08/29
Contrastive Learning
Data Heterogeneity
Ersonalized Federated Learning
Representation Learning