Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data

Author:

Qi Zhuang1ORCID,Meng Lei2ORCID,Chen Zitan1ORCID,Hu Han3ORCID,Lin Hui4ORCID,Meng Xiangxu1ORCID

Affiliation:

1. Shandong University, Jinan, China

2. Shandong University & Shandong Research Institute of Industrial Technology, Jinan, China

3. Beijing Institute of Technology, Beijing, China

4. National Engineering Research Centerfor Risk Perception and Prevention, Beijing, China

Funder

TaiShan Scholars Program

National Natural Science Foundation of China

Oversea Innovation Team Project of the 20 Regulations for New Universities funding program of Jinan

Excellent Youth Scholars Program of Shandong Province

National Key R&D Program of China

Publisher

ACM

Reference57 articles.

1. Debora Caldarola , Barbara Caputo , and Marco Ciccone . 2022. Improving generalization in federated learning by seeking flat minima . In ECCV. Springer , 654--672. Debora Caldarola, Barbara Caputo, and Marco Ciccone. 2022. Improving generalization in federated learning by seeking flat minima. In ECCV. Springer, 654--672.

2. Jingjing Chen and Chong-Wah Ngo. 2016. Deep-based ingredient recognition for cooking recipe retrieval. In MM. 32--41. Jingjing Chen and Chong-Wah Ngo. 2016. Deep-based ingredient recognition for cooking recipe retrieval. In MM. 32--41.

3. Dual Encoding for Video Retrieval by Text

4. Pei Dong Lei Wu Lei Meng and Xiangxu Meng. 2022a. Disentangled Representations and Hierarchical Refinement of Multi-Granularity Features for Text-to-Image Synthesis. In ICMR. 268--276. Pei Dong Lei Wu Lei Meng and Xiangxu Meng. 2022a. Disentangled Representations and Hierarchical Refinement of Multi-Granularity Features for Text-to-Image Synthesis. In ICMR. 268--276.

5. Pei Dong , Lei Wu , Lei Meng , and Xiangxu Meng . 2022b. HR-PrGAN: High-resolution story visualization with progressive generative adversarial networks. Information Sciences ( 2022 ). Pei Dong, Lei Wu, Lei Meng, and Xiangxu Meng. 2022b. HR-PrGAN: High-resolution story visualization with progressive generative adversarial networks. Information Sciences (2022).

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