scholar.google.com › citations
Jul 22, 2024 · We introduce the concept of “Age of Information” (AoI) to quantitatively assess the freshness of local datasets and conduct a theoretical analysis of the ...
Jul 5, 2024 · This paper explores differentially-private federated learning (FL) across time-varying databases, delving into a nuanced three-way tradeoff ...
Federated Learning (FL) is an emerging privacy-preserving distributed computing paradigm that enables numerous clients to collaboratively train machine ...
Oct 1, 2024 · Age-of-Information-Aware Federated Learning. Abstract. Federated learning (FL) is an emerging privacy-preserving distributed computing ...
Age-aware Communication Strategy in Federated Learning with Energy ...
ieeexplore.ieee.org › document
In this paper, we propose an age-aware communication strategy for federated learning over wireless networks, by jointly considering the staleness of parameters ...
ABSTRACT. In many federated learning (FL) models, a common strategy em- ployed to ensure the progress in the training process, is to wait.
Federated learning is a communication-efficient and privacy-preserving learning tech nique for collaborative training of machine learning models on vast ...
Missing: Aware | Show results with:Aware
May 9, 2024 · This paper explores differentially-private federated learning (FL) across time-varying databases, delving into a nuanced three-way tradeoff involving age, ...
Aug 31, 2024 · Federated learning is an emerging technique to support privacy-aware and resource-constrained machine learning, where a base station will ...
Aug 1, 2024 · In this paper, a federated learning (FL) based system is investigated with non-independent and identically distributed(non-IID) dataset, ...
Missing: Aware | Show results with:Aware