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Federated Self-Supervised Learning in Heterogeneous Settings: Limits of
  a Baseline Approach on HAR

Federated Self-Supervised Learning in Heterogeneous Settings: Limits of a Baseline Approach on HAR

17 July 2022
Sannara Ek
Romain Rombourg
François Portet
P. Lalanda
    FedML
    SSL
ArXivPDFHTML

Papers citing "Federated Self-Supervised Learning in Heterogeneous Settings: Limits of a Baseline Approach on HAR"

2 / 2 papers shown
Title
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning
Ye Lin Tun
Chu Myaet Thwal
Le Quang Huy
Minh N. H. Nguyen
Choong Seon Hong
FedML
42
2
0
22 Jan 2024
Federated Self-Supervised Learning of Multi-Sensor Representations for
  Embedded Intelligence
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Aaqib Saeed
Flora D. Salim
T. Ozcelebi
J. Lukkien
FedML
SSL
101
99
0
25 Jul 2020
1