4 citations · 7 across the 5 of their papers we have counts for
3 papers · 1 filter
Decentralised Federated Learning over Temporal Networks: The Role of Heterogeneities
Arash Badie-Modiri, Chiara Boldrini, Lorenzo Valerio +2
Decentralised federated learning, based on peer-to-peer communication, is increasingly proposed for on-device training of machine learning models, promising a privacy-preserving, c…
Initialisation and Network Effects in Decentralised Federated Learning
Arash Badie-Modiri, Chiara Boldrini, Lorenzo Valerio +2
Fully decentralised federated learning enables collaborative training of individual machine learning models on a distributed network of communicating devices while keeping the trai…
Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity
Lorenzo Valerio, Chiara Boldrini, Andrea Passarella +3
Federated Learning (FL) is a well-known framework for successfully performing a learning task in an edge computing scenario where the devices involved have limited resources and in…