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20132021
most citedFast Convergence Algorithm for Analog Federated Learning

6 citations · 17 across the 10 of their papers we have counts for

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Showing eess.SPShow all

5 papers · 1 filter

eess.SP2021

UAV Aided Over-the-Air Computation

Min Fu, Yong Zhou, Yuanming Shi +2

Over-the-air computation (AirComp) seamlessly integrates communication and computation by exploiting the waveform superposition property of multiple-access channels. Different from…

eess.SP2021

Over-the-Air Computation via Reconfigurable Intelligent Surface

Wenzhi Fang, Yuning Jiang, Yuanming Shi +3

Over-the-air computation (AirComp) is a disruptive technique for fast wireless data aggregation in Internet of Things (IoT) networks via exploiting the waveform superposition prope…

eess.SP20215 cited

Delay Analysis of Wireless Federated Learning Based on Saddle Point Approximation and Large Deviation Theory

Lintao Li, Longwei Yang, Xin Guo +4

Federated learning (FL) is a collaborative machine learning paradigm, which enables deep learning model training over a large volume of decentralized data residing in mobile device…

eess.SP2021

UAV-Assisted Over-the-Air Computation

Min Fu, Yong Zhou, Yuanming Shi +2

Over-the-air computation (AirComp) provides a promising way to support ultrafast aggregation of distributed data. However, its performance cannot be guaranteed in long-distance tra…

eess.SP2018

Downlink Interference Management in Dense Interference-Aware Drone Small Cells Networks Using Mean-Field Game Theory

Zihe Zhang, Lixin Li, Wei Liang +4

The use of drone small cells (DSCs) has recently drawn significant attentions as one key enabler for providing air-to-ground communication services in various situations. This pape…