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pro vyhledávání: '"Akbay, Abdullah Basar"'
This study considers a federated learning setup where cost-sensitive and strategic agents train a learning model with a server. During each round, each agent samples a minibatch of training data and sends his gradient update. As an increasing functio
Externí odkaz:
http://arxiv.org/abs/2212.02049
We study a model where a data collector obtains data from users through a payment mechanism, aiming to learn the underlying state from the elicited data. The private signal of each user represents her knowledge about the state; and through social int
Externí odkaz:
http://arxiv.org/abs/1903.03165
Autor:
Akbay, Abdullah Basar, Gezici, Sinan
Publikováno v:
In Signal Processing January 2016 118:235-247
Autor:
Akbay, Abdullah Basar, Gezici, Sinan
Publikováno v:
2014 22nd Signal Processing & Communications Applications Conference (SIU); 2014, p1059-1062, 4p