Communication Efficient Decentralized Learning Over Bipartite Graphs
In this paper, we propose a communication-efficiently decentralized machine learning framework that solves a consensus optimization problem defined over a network of […]
Incentivize to build
Federated learning (FL) rests on the notion of training a global model in a decentralized manner. Under this setting, mobile devices perform […]
A Crowdsourcing Framework for On-Device Federated Learning
Federated learning (FL) rests on the notion of training a global model in a decentralized manner. Under this setting, mobile devices perform […]