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04/17/2023
SplitAMC: Split Learning for Robust Automatic Modulation Classification
Automatic modulation classification (AMC) is a technology that identifie...
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10/28/2022
Differentially Private CutMix for Split Learning with Vision Transformer
Recently, vision transformer (ViT) has started to outpace the convention...
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11/04/2020
Federated Knowledge Distillation
Distributed learning frameworks often rely on exchanging model parameter...
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06/17/2020
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup
This letter proposes a novel communication-efficient and privacy-preserv...
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08/16/2019
Distilling On-Device Intelligence at the Network Edge
Devices at the edge of wireless networks are the last mile data sources ...
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07/15/2019
Multi-hop Federated Private Data Augmentation with Sample Compression
On-device machine learning (ML) has brought about the accessibility to a...
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11/28/2018