Author:
Gudur Gautham Krishna,Perepu Satheesh Kumar
Reference25 articles.
1. Bonawitz, K., et al.: Towards federated learning at scale: system design. In: SysML 2019 (2019)
2. Chang, Y., Mathur, A., Isopoussu, A., Song, J., Kawsar, F.: A systematic study of unsupervised domain adaptation for robust human-activity recognition. Proc. ACM Interactive Mob. Wearable Ubiquitous Technol. 4(1), 1–30 (2020)
3. Deng, Y., Kamani, M.M., Mahdavi, M.: Adaptive personalized federated learning. arXiv preprint arXiv:2003.13461 (2020)
4. Feng, S., Duarte, M.F.: Few-shot learning-based human activity recognition. Expert Syst. Appl. 138, 112782 (2019)
5. Gudur, G.K., Balaji, B.S., Perepu, S.K.: Resource-constrained federated learning with heterogeneous labels and models. arXiv preprint arXiv:2011.03206 (2020)
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