SA Aketi, K Roy - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
The current state-of-the-art decentralized learning algorithms mostly assume the data distribution to be Independent and Identically Distributed (IID). However, in practical …
Decentralized learning is the key to training deep neural networks (DNNs) over large distributed datasets generated at different devices and locations, without the need for a …
Extensive data availability has catalyzed the expansion of deep learning. Such advancements include image classification, speech, and natural language processing …