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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 ...
Age-aware Communication Strategy in Federated Learning with Energy ...
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In this paper, we propose an age-aware communication strategy for federated learning over wireless networks, by jointly considering the staleness of parameters ...
May 9, 2024 · This paper explores differentially-private federated learning (FL) across time-varying databases, delving into a nuanced three-way tradeoff involving age, ...
Oct 1, 2024 · Age-of-Information-Aware Federated Learning. Abstract. Federated learning (FL) is an emerging privacy-preserving distributed computing ...
Federated Learning (FL) is an emerging privacy-preserving distributed computing paradigm that enables numerous clients to collaboratively train machine ...
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 ...
May 24, 2024 · Federated learning (FL) was first introduced in (McMahan et al., 2017) as a new machine learning paradigm where the task of model training ...
Sep 29, 2024 · Federated learning(FL)is an emerging privacy-preserving distributed computing paradigm,enabling numer-ous clients to collaboratively train ...
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May 24, 2024 · Simulation results indicate that an age-weighted FedSGD is able to outperform conventional FedSGD in terms of convergence rate and ...