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Found 8 papers, 1 papers with code
Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning
The widespread adoption of machine learning (ML) across various industries has raised sustainability concerns due to its substantial energy usage and carbon emissions.
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer
Through extensive evaluations of FedAVO on benchmark datasets, we show that FedAVO achieves significant improvement in terms of model accuracy and communication round, particularly with realistic cases of Non-IID datasets.
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing
Federated Learning (FL) has gained widespread popularity in recent years due to the fast booming of advanced machine learning and artificial intelligence along with emerging security and privacy threats.
An enhanced method of initial cluster center selection for K-means algorithm
Clustering is one of the widely used techniques to find out patterns from a dataset that can be applied in different applications or analyses.
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System
This paper presents the design of a label flipping data poisoning attack for a HAR system, where the label of a sensor reading is maliciously changed in the data collection phase.
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
Smartphones, autonomous vehicles, and the Internet-of-things (IoT) devices are considered the primary data source for a distributed network.
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art
Nowadays, devices are equipped with advanced sensors with higher processing/computing capabilities.
Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks
This paper reintroduces the notion of resilience in the context of recent issues originated from climate change triggered events including severe hurricanes and wildfires.
