Distributed Semi-Supervised Learning and Audio Recognition of Road Surfaces

Visa enkel post
dc.contributor.authorDavidsson, Adam
dc.contributor.authorLarsson, Simon
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data och informationstekniksv
dc.contributor.examinerAngelov, Krasimir
dc.contributor.supervisorAbd Alrahman, Yehia
dc.date.accessioned2022-09-20T09:05:13Z
dc.date.available2022-09-20T09:05:13Z
dc.date.issued2022sv
dc.date.submitted2020
dc.description.abstractThe automotive industry is a promising environment for machine learning. However, current machine learning techniques do not meet all the requirements of many possible applications. Requirement such as privacy preservation, limited communication and semi-supervision. To satisfy these requirements, this thesis proposes a simple distributed semi-supervised algorithm (distributed FixMatch). Furthermore, we apply this algorithm to a real-world problem, detecting road surface types from audio. In applying the semi-supervised algorithm to this problem, we also propose a simple augmentation technique for audio features. The proposed algorithm was tested on two real datasets, where the algorithm was compared to a supervised training algorithm. The results suggest that the algorithm successfully leveraged unlabeled data. Furthermore, a theoretical analysis and a simulation show that the communication cost of the proposed algorithm was lower than federated or centralized alternatives.sv
dc.identifier.coursecodeDATX05sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/305627
dc.language.isoengsv
dc.setspec.uppsokTechnology
dc.subjectMachine learningsv
dc.subjectFederated learningsv
dc.subjectSemi-Supervised learningsv
dc.subjectDistributed learningsv
dc.subjectAudio Recognitionsv
dc.subjectRoad Surface detectionsv
dc.subjectNeural Networksv
dc.titleDistributed Semi-Supervised Learning and Audio Recognition of Road Surfacessv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH
Ladda ner
Original bundle
Visar 1 - 1 av 1
Bild (thumbnail)
Namn:
CSE 22-52 Larsson Davidsson.pdf
Storlek:
3.08 MB
Format:
Adobe Portable Document Format
Beskrivning:
Distributed Semi-Supervised Learning and Audio Recognition of Road Surfaces
Ladda ner
License bundle
Visar 1 - 1 av 1
Bild (thumbnail)
Namn:
license.txt
Storlek:
1.51 KB
Format:
Item-specific license agreed upon to submission
Beskrivning:
Ladda ner
Samling
Examensarbeten för masterexamen