FedGrid: Federated Model Aggregation via Grid Shifting

Author:

Kraychev Boris1ORCID,Kiyamousavi Ensiye1ORCID,Koychev Ivan2ORCID

Affiliation:

1. GATE Institute, Sofia, BG

2. Faculty of Mathematics and Informatics, Sofia University; Qatar Computing Research Institute, Sofia, BG

Funder

EU?s Horizon 2020 Widespread-2018-2020 Teaming Phase 2 Programme

Operational Programme Science and Education for Smart Growth

CHIST-ERA

MUR, FWF

EPSRC

NCN

ETAg

BNSF

Publisher

ACM

Reference37 articles.

1. Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N Whatmough, and Venkatesh Saligrama. 2021. Federated learning based on dynamic regularization. In International Conference on Learning Representations.

2. How the GDPR Will Change the World

3. Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Titouan Parcollet, and Nicholas D. Lane. 2020. Flower: A Friendly Federated Learning Research Framework. CoRR abs/2007.14390 (2020). arXiv:2007.14390 https://arxiv.org/abs/2007.14390

4. Cristian Buciluǎ Rich Caruana and Alexandru Niculescu-Mizil. 2006. Model compression. (2006) 535--541.

5. Rich Caruana. 1997. Multitask learning. Machine learning 28, 1 (1997), 41--75.

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