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20182026
most citedWhen Federated Learning Meets Blockchain: A New Distributed Learning Paradigm

26 citations · 80 across the 21 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.NI2020★ 26 cited

When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm

Chuan Ma, Jun Li, Ming Ding +4

Motivated by the explosive computing capabilities at end user equipments, as well as the growing privacy concerns over sharing sensitive raw data, a new machine learning paradigm,…

cs.IT2020★ 1 cited

DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length

Cheng Wang, Kang Wei, Lingjun Kong +4

The error correcting performance of multi-level-cell (MLC) NAND flash memory is closely related to the block length of error correcting codes (ECCs) and log-likelihood-ratios (LLRs…

eess.SP2020

Probabilistic Caching for Small-Cell Networks with Terrestrial and Aerial Users

Fei Song, Jun Li, Ming Ding +5

The support for aerial users has become the focus of recent 3GPP standardizations of 5G, due to their high maneuverability and flexibility for on-demand deployment. In this paper,…

eess.SP2020★ 6 cited

Dynamic Virtual Resource Allocation for 5G and Beyond Network Slicing

Fei Song, Jun Li, Chuan Ma +3

The fifth generation and beyond wireless communication will support vastly heterogeneous services and use demands such as massive connection, low latency and high transmission rate…

cs.IT2020★ 9 cited

Path Planning for UAV-Mounted Mobile Edge Computing with Deep Reinforcement Learning

Q. Liu, L. Shi, L. Sun +3

In this letter, we study an unmanned aerial vehicle (UAV)-mounted mobile edge computing network, where the UAV executes computational tasks offloaded from mobile terminal users (TU…

cs.IT2020★ 1 cited

Coded Caching with Polynomial Subpacketization

Wentu Song, Kui Cai, Long Shi

Consider a centralized caching network with a single server and users. The server has a database of files with each file being divided into packets ( is known as sub…