Publications

pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints

Published in In 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, 2023

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Recommended citation: Mou, Y., Geng, J., Zhou, F., Beyan, O., Rong, C. and Decker, S. (2023). "pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints." In Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023. (pp. 283-294). Springer Nature, Cham.

Blockchain-based Cross-organizational Workflow Platform

Published in 2022 IEEE International Conference on Cloud Computing Technology and Science, 2022

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Recommended citation: Geng J, Rehman AA, Mou Y, Decker S, Rong C. "Blockchain-based Cross-organizational Workflow Platform" In2022 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). 2022 Dec 13 (pp. 53-59)

Optimized Federated Learning on Class-Biased Distributed Data Sources

Published in In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2021

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Recommended citation: Mou Y, Geng J, Welten S, Chun R, Decker S, Beyan O. (2021). "Optimized Federated Learning on Class-biased Distributed Data Sources." In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2021. Communications in Computer and Information Science, vol 1524. Springer, Cham. https://doi.org/10.1007/978-3-030-93736-2_13