Green Edge AI: A Contemporary Survey
Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …
Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging
M Theologitis, G Frangias, G Anestis… - arXiv preprint arXiv …, 2024 - arxiv.org
Driven by the ever-growing volume and decentralized nature of data, coupled with the
escalating size of modern models, distributed deep learning (DDL) has been entrenched as …
escalating size of modern models, distributed deep learning (DDL) has been entrenched as …
[PDF][PDF] A Systematic Comparison of Federated Machine Learning Libraries
A Saidani - DEPARTMENT OF INFORMATICS …, 2023 - wwwmatthes.in.tum.de
In the last few years, consumers have become more than ever aware of their data
sovereignty and privacy. In addition, companies need more and more to collaborate but are …
sovereignty and privacy. In addition, companies need more and more to collaborate but are …
[PDF][PDF] Secure and Efficient Federated Learning in Edge Computing
R Jin - 2024 - ore.exeter.ac.uk
Federated Learning (FL) has emerged as a promising paradigm for privacy-preserving
Machine Learning (ML). It enables distributed end devices (clients) to collaboratively train a …
Machine Learning (ML). It enables distributed end devices (clients) to collaboratively train a …