LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning

Author:

Oh Seungeun1,Park Jihong2,Vepakomma Praneeth3,Baek Sihun1,Raskar Ramesh3,Bennis Mehdi4,Kim Seong-Lyun1

Affiliation:

1. Yonsei University, Republic of Korea

2. Deakin University, Australia

3. Massachusetts Institute of Technology, USA

4. University of Oulu, Finland

Publisher

ACM

Reference34 articles.

1. Eugene Belilovsky , Michael Eickenberg , and Edouard Oyallon . 2019 . Greedy layerwise learning can scale to imagenet . In International conference on machine learning. PMLR, 583–593 . Eugene Belilovsky, Michael Eickenberg, and Edouard Oyallon. 2019. Greedy layerwise learning can scale to imagenet. In International conference on machine learning. PMLR, 583–593.

2. L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning

3. Yansong Gao Minki Kim Sharif Abuadbba Yeonjae Kim Chandra Thapa Kyuyeon Kim Seyit A Camtepe Hyoungshick Kim and Surya Nepal. 2020. End-to-end evaluation of federated learning and split learning for internet of things. arXiv preprint arXiv:2003.13376(2020). Yansong Gao Minki Kim Sharif Abuadbba Yeonjae Kim Chandra Thapa Kyuyeon Kim Seyit A Camtepe Hyoungshick Kim and Surya Nepal. 2020. End-to-end evaluation of federated learning and split learning for internet of things. arXiv preprint arXiv:2003.13376(2020).

4. Yansong Gao Minki Kim Chandra Thapa Sharif Abuadbba Zhi Zhang Seyit A Camtepe Hyoungshick Kim and Surya Nepal. 2021. Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things. arXiv preprint arXiv:2103.02762(2021). Yansong Gao Minki Kim Chandra Thapa Sharif Abuadbba Zhi Zhang Seyit A Camtepe Hyoungshick Kim and Surya Nepal. 2021. Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things. arXiv preprint arXiv:2103.02762(2021).

5. Secure Training of Multi-Party Deep Neural Network;Gupta Otkrist;US Patent App.,2017

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