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20232026
most citedTowards Quantum Federated Learning

14 citations · 20 across the 25 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.IT2023

Fluid Antenna Array Enhanced Over-the-Air Computation

Deyou Zhang, Sicong Ye, Ming Xiao +3

Over-the-air computation (AirComp) has emerged as a promising technology for fast wireless data aggregation by harnessing the superposition property of wireless multiple-access cha…

cs.IT2023★ 4 cited

Beamforming Design for Active RIS-Aided Over-the-Air Computation

Deyou Zhang, Ming Xiao, Mikael Skoglund +1

Over-the-air computation (AirComp) is emerging as a promising technology for wireless data aggregation. However, its performance is hampered by users with poor channel conditions.…

cs.IT2023

Over-the-Air Computation Empowered Federated Learning: A Joint Uplink-Downlink Design

Deyou Zhang, Ming Xiao, Mikael Skoglund

In this paper, we investigate the communication designs of over-the-air computation (AirComp) empowered federated learning (FL) systems considering uplink model aggregation and dow…

cs.IT2023

Federated Learning via Active RIS Assisted Over-the-Air Computation

Deyou Zhang, Ming Xiao, Mikael Skoglund +1

In this paper, we propose leveraging the active reconfigurable intelligence surface (RIS) to support reliable gradient aggregation for over-the-air computation (AirComp) enabled fe…

cs.IT2023

NOMA Enabled Multi-Access Edge Computing: A Joint MU-MIMO Precoding and Computation Offloading Design

Deyou Zhang, Meng Wang, Shuo Shi +1

This letter investigates computation offloading and transmit precoding co-design for multi-access edge computing (MEC), where multiple MEC users (MUs) equipped with multiple antenn…

cs.LG2023★ 14 cited

Towards Quantum Federated Learning

Chao Ren, Rudai Yan, Huihui Zhu +9

Quantum Federated Learning (QFL) is an emerging interdisciplinary field that merges the principles of Quantum Computing (QC) and Federated Learning (FL), with the goal of leveragin…