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Personalized Semi-Supervised Federated Learning for Human Activity Recognition
v1v2v3 (latest)

Personalized Semi-Supervised Federated Learning for Human Activity Recognition

Personal and Ubiquitous Computing (PUC), 2021
15 April 2021
Riccardo Presotto
Gabriele Civitarese
Claudio Bettini
ArXiv (abs)PDFHTML

Papers citing "Personalized Semi-Supervised Federated Learning for Human Activity Recognition"

5 / 5 papers shown
Transformer-based Models to Deal with Heterogeneous Environments in Human Activity Recognition
Transformer-based Models to Deal with Heterogeneous Environments in Human Activity RecognitionPersonal and Ubiquitous Computing (PUC), 2022
Sannara Ek
François Portet
P. Lalanda
325
32
0
22 Sep 2022
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for
  Edge Intelligence
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge IntelligenceIEEE Internet of Things Journal (IEEE IoT J.), 2022
Arvin Tashakori
Wenwen Zhang
Z. Jane Wang
Peyman Servati
303
41
0
15 Mar 2022
FLAME: Federated Learning Across Multi-device Environments
FLAME: Federated Learning Across Multi-device EnvironmentsProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2022
Hyunsung Cho
Akhil Mathur
F. Kawsar
224
28
0
17 Feb 2022
Deep Learning in Human Activity Recognition with Wearable Sensors: A
  Review on Advances
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on AdvancesItalian National Conference on Sensors (INS), 2021
Shibo Zhang
Yaxuan Li
Shen Zhang
Farzad Shahabi
S. Xia
Yuanbei Deng
N. Alshurafa
BDL
641
441
0
31 Oct 2021
Personalized Activity Recognition with Deep Triplet Embeddings
Personalized Activity Recognition with Deep Triplet EmbeddingsItalian National Conference on Sensors (INS), 2020
D. Burns
C. Whyne
HAI
245
29
0
15 Jan 2020
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