… In this paper, we proposed digital and analog implementations of decentralized FL over
wireless D2D networks. As general conclusion, we have observed that over-the-air computing …

… ] proposed a hierarchical system model for federated learning where edge servers are utilized
… As compared to above works, we propose a semi-decentralized architecture, where D2D …

… of failure and are inappropriate to UAV networks with both unreliable nodes and … Decentralized
Federated Learning for UAV Networks (DFL-UN), which enables FL within UAV networks …

… the decentralized training paradigm building on the device-to-device (D2D) network, which
facilitates collaborative learning … Decentralized optimization has been investigated intensively …

… federated learning system supported by a decentralized wireless communication network
in decentralized setting where no central PS exists to coordinate training process of all edge …

… (FL) has emerged as a distributed machine learning (ML) technique to … a decentralized FL
scheme that is called federated learning empowered overlapped clustering for decentralized …

… years, Federated Learning (FL) has gained relevance in training collaborative … Decentralized
Federated Learning (DFL) emerged to address these concerns by promoting decentralized …

… exchanging model parameters updates rather than training data over capacity-constrained …
analysis of decentralized FL systems running on top of industrial wireless networks rooted in …

… problem in a decentralized setting as shown in Fig. 1, in which a set V = {1,...,K} of K devices
can only communicate with their respective neighbors over a wireless D2D network whose …

… We begin by presenting the decentralized optimization over unreliable D2D networks and
then outline the corresponding transmission model. Consistent with [6], [7], [15], we apply the …