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Communication-efficient distributed deep learning: A comprehensive survey
Distributed differentially-private learning with communication efficiency
TT Phuong - Journal of Systems Architecture, 2022 - Elsevier
In this paper, we propose a new algorithm for learning over distributed data such as in the
IoT environment, in a privacy-preserving way. Our algorithm is a differentially private variant …
IoT environment, in a privacy-preserving way. Our algorithm is a differentially private variant …
Adaptive decentralized federated learning in resource-constrained IoT networks
M Du, H Zheng, M Gao, X Feng - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Decentralized federated learning (DFL) is a novel distributed machine-learning paradigm
where participants collaborate to train machine-learning models without the assistance of …
where participants collaborate to train machine-learning models without the assistance of …