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11/08/2022
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design
Federated learning (FL) has achieved great success as a privacy-preservi...
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06/15/2022
Resource-Constrained Edge AI with Early Exit Prediction
By leveraging the data sample diversity, the early-exit network recently...
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06/11/2022
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Federated learning (FL) has recently emerged as a popular privacy-preser...
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05/11/2022
Error Rate Analysis for Grant-free Massive Random Access with Short-Packet Transmission
Grant-free massive random access (RA) is a promising protocol to support...
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01/25/2022
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees
Federated learning (FL) has attracted much attention as a privacy-preser...
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12/20/2021
Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity
Federated edge learning (FEEL) has attracted much attention as a privacy...
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12/09/2021
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients
Federated edge learning (FEEL) has drawn much attention as a privacy-pre...
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09/01/2021
Task-Oriented Communication for Multi-Device Cooperative Edge Inference
This paper investigates task-oriented communication for multi-device coo...
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08/30/2021
Communication-Computation Efficient Device-Edge Co-Inference via AutoML
Device-edge co-inference, which partitions a deep neural network between...
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07/12/2021
Joint Activity Detection, Channel Estimation, and Data Decoding for Grant-free Massive Random Access
In the massive machine-type communication (mMTC) scenario, a large numbe...
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04/26/2021
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
Federated edge learning (FEEL) has emerged as an effective alternative t...
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04/26/2021
Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver
In this paper, we propose a turbo receiver for joint activity detection ...
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02/17/2021
Supporting More Active Users for Massive Access via Data-assisted Activity Detection
Massive machine-type communication (mMTC) has been regarded as one of th...
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02/08/2021
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
This paper investigates task-oriented communication for edge inference, ...
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10/27/2020