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20152026
most citedFederated Learning with Non-IID Data

1.9k citations · 2.1k across the 43 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.SI2016★ 2 cited

Not Call Me Cellular Any More: The Emergence of Scaling Law, Fractal Patterns and Small-World in Wireless Networks

Chao Yuan, Zhifeng Zhao, Rongpeng Li +2

In conventional cellular networks, for base stations (BSs) that are deployed far away from each other, it is general to assume them to be mutually independent. Nevertheless, after…

stat.CO2016

BayesBD: An R Package for Bayesian Inference on Image Boundaries

Nicholas Syring, Meng Li

We present the BayesBD package providing Bayesian inference for boundaries of noisy images. The BayesBD package implements flexible Gaussian process priors indexed by the circle to…

cs.NI2016★ 1 cited

Machine-to-Machine (M2M) Communications in Software-defined and Virtualized Cellular Networks

Meng Li, F. Richard Yu, Pengbo Si +3

Machine-to-machine (M2M) communications have attracted great attention from both academia and industry. In this paper, with recent advances in wireless network virtualization and s…

cs.NI2016

Software-defined and Virtualized Cellular Networks with M2M Communications

Meng Li, F. RichardYu, Pengbo Si +2

Machine-to-machine (M2M) communications have attracted great attention from both academia and industry. In this paper, with recent advances in wireless network virtualization and s…

cs.NI2016★ 1 cited

Machine to Machine (M2M) Communications in Virtualized Vehicular Ad Hoc Networks

Meng Li, F. Richard Yu, Pengbo Si +2

With the growing interest in the use of internet of things (IoT), machine-to-machine (M2M) communications have become an important networking paradigm. In this paper, with recent a…