Fetching the paper…
Reading the bibliography…
This work presents a new method for enhancing communication efficiency in stochastic Federated Learning that trains over-parameterized random networks.
1905
Earlier work this paper cites.
1909
Earlier work this paper cites.
1911
Earlier work this paper cites.
G. S. Lueker, “Exponentially small bounds on the expected optimum of the partition and subset sum problems,” Random Structures & Algorithms , vol. 12, no. 1, pp. 51–62, 1998. [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1002/%28SICI%291098-2418%28199801%2912%3A1%3C51%3A%3AAID-RSA3%3E3.0.CO%3B2-S
1998
Earlier work this paper cites.
2006
Cited alongside, same era.
L. Deng, “The mnist database of handwritten digit images for machine learning research,” IEEE Signal Processing Magazine , vol. 29, no. 6, pp. 141–142, 2012
2012
Cited alongside, same era.
2016
Cited alongside, same era.
2017
Cited alongside, same era.
2018
Later among the works it cites.
A. Li, J. Sun, X. Zeng, M. Zhang, H. Li, and Y. Chen, “Fedmask: Joint computation and communication-efficient personalized federated learning via heterogeneous masking,” in Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems , ser. SenSys ’21. New York, NY, USA: Association for Computing Machinery, 2021, p. 42–55. [Online]. Available: https://doi.org/10.1145/3485730.3485929
2021
Later among the works it cites.
2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A. Krizhevsky, V. Nair, and G. Hinton, “Cifar-100 (canadian institute for advanced research).” [Online]. Available: http://www.cs.toronto.edu/~kriz/cifar.html
Cited in the paper.