[HTML][HTML] Trustworthy decentralized collaborative learning for edge intelligence: A survey

D Yu, Z Xie, Y Yuan, S Chen, J Qiao, Y Wang… - High-Confidence …, 2023 - Elsevier
Edge intelligence is an emerging technology that enables artificial intelligence on connected
systems and devices in close proximity to the data sources. Decentralized Collaborative …

Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data

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 …

Efficient Decentralized Learning Methods for Deep Neural Networks

SA Aketi - 2024 - hammer.purdue.edu
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 …

PRIVACY PRESERVING AND EFFICIENT MACHINE LEARNING ALGORITHMS

E Soufleri - 2024 - hammer.purdue.edu
Extensive data availability has catalyzed the expansion of deep learning. Such
advancements include image classification, speech, and natural language processing …