Split Learning Over Wireless Networks: Parallel Design and Resource Management
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2023.3242704
Abstract: Split learning (SL) is a collaborative learning framework, which can train an artificial intelligence (AI) model between a device and an edge server by splitting the AI model into a device-side model and a server-side… read more here.
Keywords: resource management; wireless networks; split learning; training latency ... See more keywords
A Privacy-Preserved Split Learning Solution for Deep Learning-Based mmWave Beam Selection
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DOI: 10.1109/lcomm.2022.3170211
Abstract: Side information, like light detection and ranging data, is promising to help the millimeter wave (mmWave) system achieve efficient link configuration through machine learning methods. However, collecting and using this information may violate user privacy.… read more here.
Keywords: beam selection; split learning; privacy preserved; preserved split ... See more keywords
Privacy-Preserving Split Learning for Large-Scaled Vision Pre-Training
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3243490
Abstract: The growing concerns about data privacy in society lead to restrictions on the computer vision research gradually. Several collaboration-based vision learning methods have recently emerged, e.g., federated learning and split learning. These methods protect user… read more here.
Keywords: split; split learning; pre training; privacy ... See more keywords
Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3274391
Abstract: Split learning (SL) enables data privacy preservation by allowing clients to collaboratively train a deep learning model with the server without sharing raw data. However, SL still has limitations such as potential data privacy leakage… read more here.
Keywords: computation; split learning; privacy; data privacy ... See more keywords