Luiz F. Bittencourt

An Analysis of the Voluntary Aspect in Cloud Federations

2015

With both the consolidation and the wide adoption of the cloud computing paradigm, some limitations inherent to this technology appear, hampering the effective and plain use of the paradigm to its full extent. To overcome …

Management of Resource at the Network Edge for Federated Learning

2021 · arXiv (Cornell University)

Federated learning has been explored as a promising solution for training at the edge, where end devices collaborate to train models without sharing data with other entities. Since the execution of these learning models occurs …

EntropicFL: Efficient Federated Learning via Data Entropy and Model Divergence

2023

Federated Learning (FL) is a strategy for training distributed learning models. This approach gives rise to significant challenges including the non-independent and identically distributed (non-IID.) characteristics inherent to the training data, which can wield influence …