… to federated learning where clients communicate directly among themselves. We term this
decentralized … a peer-topeer, decentralized environment where multiple medical centers can …

We consider the problem of training a machine learning model over a network of users in a
fully decentralized framework. The users take a Bayesian-like approach via the introduction …

… Abstract—In recent years, Federated Learning (FL) has gained relevance in … Decentralized
Federated Learning (DFL) emerged to address these concerns by promoting decentralized …

… In real-world federated learning scenarios, the network ca… is a novel decentralized federated
learning design, introducing … Second, we propose a decentralized federated learning design…

… Traditional federated learning is designed with a parameter… the decentralized training
paradigm building on the device-to-device (D2D) network, which facilitates collaborative learning …

… -learning model without sharing their data. However, the majority of the existing federated
… In this work, we introduce IPLS, a fully decentralized federated learning framework that is …

… However, the security of federated learning is increasingly being … a decentralized federated
learning framework based on blockchain, that is, a Blockchain-based Federated Learning …

… Abstract—Decentralized stochastic gradient descent (SGD) is a driving engine for decentralized
federated learning (DFL). The performance of decentralized SGD is jointly influenced by …

… as managing heterogeneous federation network topologies, … of metrics to evaluate different
federation scenarios for efficient … train FL models in a decentralized, semi-decentralized, and …

… Gossip learning is a decentralized alternative to federated learning that does not require an
… The natural hypothesis is that gossip learning is strictly less efficient than federated learning …