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Federated Learning ...
Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-Based SVM
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- Tavara, Shirin, 1982 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,CSE, University of Gothenburg ; Chalmers University of Technology, Gothenburg, Sweden,Skövde Artificial Intelligence Lab (SAIL)
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- Schliep, Alexander, 1967 (author)
- Göteborgs universitet,University of Gothenburg,CSE, University of Gothenburg ; Chalmers University of Technology, Gothenburg, Sweden
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- Basu, Debabrota (author)
- Université de Lille,University of Lille,Equipe Scool, Inria, UMR 9189-CRIStAL, CNRS, Univ. Lille, Centrale Lille, Lille, France
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(creator_code:org_t)
- 2022-02-18
- 2021
- English.
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In: Communications in Computer and Information Science. - Cham : Springer International Publishing. - 1865-0937 .- 1865-0929. ; 1525 CCIS, s. 459-467, s. 459-467
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Abstract
Subject headings
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- A crucial step to assure drug safety is predicting off-target binding. For oligonucleotide drugs this requires learning the relevant thermodynamics from often large-scale data distributed across different organisations. This process will respect data privacy if distributed and private learning under limited and private communication between local nodes is used. We propose an ADMM-based SVM with differential privacy for this purpose. We empirically show that this approach achieves accuracy comparable to the non-private one, i.e. ∼ 86 %, while yielding tight empirical privacy guarantees even after convergence.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Keyword
- Federated learning
- Oligonucleotide drug molecules
- SVM
- ADMM
- Differential privacy
- Distributed learning
Publication and Content Type
- kon (subject category)
- ref (subject category)
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