Meta-learning aims to develop algorithms that can learn from other learn...
Malicious perturbations embedded in input data, known as Trojan attacks,...
Meta-learning usually refers to a learning algorithm that learns from ot...
Wireless ad hoc federated learning (WAFL) is a fully decentralized
colla...
Visual question answering (VQA) that leverages multi-modality data has
a...
Federated learning has allowed training of a global model by aggregating...
Federated Learning (FL) facilitates distributed model learning to protec...
Model poisoning attacks on federated learning (FL) intrude in the entire...
Phishing emails that appear legitimate lure people into clicking on the
...
Federated learning (FL) has been facilitating privacy-preserving deep
le...
The rapidly increasing number of smart devices on the Internet necessita...
An attack on deep learning systems where intelligent machines collaborat...
A wider coverage and a better solution to latency reduction in 5G
necess...