Federated learning with unreliable clients: Performance analysis and mechanism design

C Ma, J Li, M Ding, K Wei, W Chen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Owing to the low communication costs and privacy-promoting capabilities, federated
learning (FL) has become a promising tool for training effective machine learning models …

Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design

C Ma, J Li, M Ding, K Wei, W Chen, HV Poor - arXiv preprint arXiv …, 2021 - arxiv.org
Owing to the low communication costs and privacy-promoting capabilities, Federated
Learning (FL) has become a promising tool for training effective machine learning models …

[PDF][PDF] Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design

C Ma, J Li, M Ding, K Wei, W Chen, HV Poor - ieeexplore.ieee.org
Owing to the low communication costs and privacypromoting capabilities, Federated
Learning (FL) has become a promising tool for training effective machine learning models …

Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design

C Ma, J Li, M Ding, K Wei, W Chen, HV Poor - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Owing to the low communication costs and privacy-promoting capabilities, Federated
Learning (FL) has become a promising tool for training effective machine learning models …

Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design

C Ma, J Li, M Ding, K Wei, W Chen… - IEEE INTERNET OF …, 2021 - openreview.net
Owing to the low communication costs and privacy-promoting capabilities, federated
learning (FL) has become a promising tool for training effective machine learning models …

Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design

C Ma, J Li, M Ding, K Wei… - IEEE Internet of …, 2021 - collaborate.princeton.edu
Owing to the low communication costs and privacy-promoting capabilities, federated
learning (FL) has become a promising tool for training effective machine learning models …

[引用][C] Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design

C Ma, J Li, M Ding, K Wei, W Chen, HV Poor - IEEE INTERNET OF THINGS …, 2021