Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding Article Swipe
Weihua Zhuang
,
Yuyi Mao
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2412.21069
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2412.21069
Mobile edge computing (MEC) has empowered mobile devices (MDs) in supporting artificial intelligence (AI) applications through collaborative efforts with proximal MEC servers. Unfortunately, despite the great promise of device-edge cooperative AI inference, data privacy becomes an increasing concern. In this paper, we develop a privacy-aware multi-device cooperative edge inference system for classification tasks, which integrates a distributed bidding mechanism for the MEC server's computational resources. Intermediate feature compression is adopted as a principled approach to minimize data privacy leakage. To determine the bidding values and feature compression ratios in a distributed fashion, we formulate a decentralized partially observable Markov decision process (DEC-POMDP) model, for which, a multi-agent deep deterministic policy gradient (MADDPG)-based algorithm is developed. Simulation results demonstrate the effectiveness of the proposed algorithm in privacy-preserving cooperative edge inference. Specifically, given a sufficient level of data privacy protection, the proposed algorithm achieves 0.31-0.95% improvements in classification accuracy compared to the approach being agnostic to the wireless channel conditions. The performance is further enhanced by 1.54-1.67% by considering the difficulties of inference data.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2412.21069
- https://arxiv.org/pdf/2412.21069
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405957697
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405957697Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2412.21069Digital Object Identifier
- Title
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Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource BiddingWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-12-30Full publication date if available
- Authors
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Weihua Zhuang, Yuyi MaoList of authors in order
- Landing page
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https://arxiv.org/abs/2412.21069Publisher landing page
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https://arxiv.org/pdf/2412.21069Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2412.21069Direct OA link when available
- Concepts
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Bidding, Inference, Enhanced Data Rates for GSM Evolution, Resource (disambiguation), Computer science, Computer security, Business, Internet privacy, Telecommunications, Artificial intelligence, Computer network, MarketingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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