How to cope with malicious federated learning clients: An unsupervised learning-based approach
With the advent of data-driven and Artificial Intelligence solutions, data providers such as
Internet of Things (IoT)-enabled devices and sensors have become essential for intelligent …
Internet of Things (IoT)-enabled devices and sensors have become essential for intelligent …
On the Impact of Malicious and Cooperative Clients on Validation Score-Based Model Aggregation for Federated Learning
MA Önsü, B Kantarci… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Conventional AI-based service flow remains a challenge for IoT-enabled devices since data
collected by local clients is transferred to a centralized server, which contains a global …
collected by local clients is transferred to a centralized server, which contains a global …
CodeFed: Federated Speech Recognition for Low-Resource Code-Switching Detection
One common constraint in the practical application of speech recognition is Code Switching.
The issue of code-switched languages is especially aggravated in the context of Indian …
The issue of code-switched languages is especially aggravated in the context of Indian …