Incentive mechanisms for federated learning: From economic and game theoretic perspective
Federated learning (FL) becomes popular and has shown great potentials in training large-
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …
A comprehensive survey of incentive mechanism for federated learning
[HTML][HTML] Federated Reinforcement Learning for Collaborative Intelligence in UAV-assisted C-V2X Communications
This paper applies federated reinforcement learning (FRL) in cellular vehicle-to-everything
(C-V2X) communication to enable vehicles to learn communication parameters in …
(C-V2X) communication to enable vehicles to learn communication parameters in …
Incentive mechanism for differentially private federated learning in industrial Internet of Things
Federated learning (FL) is a newly emerging distributed machine learning paradigm,
whereby a server can coordinate multiple clients to jointly train a learning model by using …
whereby a server can coordinate multiple clients to jointly train a learning model by using …
Auction-promoted trading for multiple federated learning services in UAV-aided networks
Federated learning (FL) represents a promising distributed machine learning paradigm that
allows smart devices to collaboratively train a shared model via providing local data sets …
allows smart devices to collaboratively train a shared model via providing local data sets …
Fedtor: An anonymous framework of federated learning in internet of things
With a large number of devices and a wealth of user data sets, the Internet of Things (IoT)
has become a great host for federated learning (FL). At the same time, the massive amount …
has become a great host for federated learning (FL). At the same time, the massive amount …