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20142026
most citedScheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks

116 citations · 196 across the 23 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.LG2022★ 116 cited

Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks

Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson

Federated Learning (FL) is a collaborative machine learning (ML) framework that combines on-device training and server-based aggregation to train a common ML model among distribute…

cs.IT2022

Over-the-Air Computation for Distributed Systems: Something Old and Something New

Zheng Chen, Erik G. Larsson, Carlo Fischione +2

Facing the upcoming era of Internet-of-Things and connected intelligence, efficient information processing, computation, and communication design becomes a key challenge in large-s…

cs.IT2022

Robust Beamforming Design for IRS-Aided URLLC in D2D Networks

Jing Cheng, Chao Shen, Zheng Chen +1

Intelligent reflecting surface (IRS) and device-to-device (D2D) communication are two promising technologies for improving transmission reliability between transceivers in communic…

cs.IT2022

Treating Interference as Noise in Cell-Free Massive MIMO Networks

Shuaifei Chen, Jiayi Zhang, Zheng Chen +1

How to manage the interference introduced by the enormous wireless devices is a crucial issue to address in the prospective sixth-generation (6G) communications. The treating inter…

eess.SP2022★ 4 cited

On-Demand AoI Minimization in Resource-Constrained Cache-Enabled IoT Networks with Energy Harvesting Sensors

Mohammad Hatami, Markus Leinonen, Zheng Chen +2

We consider a resource-constrained IoT network, where multiple users make on-demand requests to a cache-enabled edge node to send status updates about various random processes, eac…