Fedsim: Similarity guided model aggregation for federated learning

C Palihawadana, N Wiratunga, A Wijekoon… - Neurocomputing, 2022 - Elsevier
Federated Learning (FL) is a distributed machine learning approach in which clients
contribute to learning a global model in a privacy preserved manner. Effective aggregation …
被引用次数：36 相关文章

FedSim:: Similarity guided model aggregation for Federated Learning

C Palihawadana, N Wiratunga, A Wijekoon… - 2022 - dl.acm.org
Federated Learning (FL) is a distributed machine learning approach in which clients
contribute to learning a global model in a privacy preserved manner. Effective aggregation …

FedSim: similarity guided model aggregation for federated learning.

C Palihawadana, N Wiratunga… - …, 2021 - rgu-repository.worktribe.com
Federated Learning (FL) is a distributed machine learning approach in which clients
contribute to learning a global model in a privacy preserved manner. Effective aggregation …
[PDF] academia.edu

[PDF][PDF] FedSim: similarity guided model aggregation for federated learning.

C PALIHAWADANA, N WIRATUNGA, A WIJEKOON… - academia.edu
Federated Learning (FL) is a distributed machine learning approach in which clients
contribute to learning a global model in a privacy preserved manner. Effective aggregation …
[PDF] worktribe.com

[PDF][PDF] FedSim: similarity guided model aggregation for federated learning.

C PALIHAWADANA, N WIRATUNGA, A WIJEKOON… - rgu-repository.worktribe.com