… to train a learning model locally. … learning frameworks is federated learning (FL) developed
in [5]. FL is a distributed machine learning method that enables users to collaboratively learn …

… learning framework that requires no centralized training data. … global model through 5G
networks from the central aggregator, … Federated learning aims to build machine learning models …

… a wireless network in training a shared ML model without data exchanges, federated learning
(… This article has proposed a novel wireless CFL framework and introduced the challenges …

… Learning time and UE energy consumption. We fill this gap by formulating a Federated Learning
over wireless network … the Federated Learning framework [9] to the wireless networks as …

… of federated learning over wireless networks. In the final part, we present several applications
of federated learning in wireless networks. … a collaborative federated learning framework to …

… FEDL over wireless networks to capture the trade-off between the wall clock training time of
… Manzoor, an CS Hong, “A crowdsourcing framework for on-device federated learning,” IEEE …

Federated learning (FL) has recently become one of the hottest focuses in wireless edge
networks … In FL, UEs train local machine learning models and transmit them to an aggregator, …

… • We develop a formal framework to analyze the convergence performance of FL algorithms
… in wireless networks. In Section IV, we analyze the convergence rate of federated learning …

… learning framework called Federated Learning (FL) has been proposed. FL enables user
devices, such as mobile … , to collaboratively train a machine learning model by only sending the …

… We propose an auction framework for the wireless federated learning services … federated
learning in mobile networks: A contract theory approach,” IEEE VTS Asia Pacific Wireless …