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Empowering the future of intelligent innovation: Expert perspectives from Mohamed Abdul Kadar Mohamed Jabarullah

Summary: The future of intelligent innovation will receive empowerment through the expert insights of Mohamed Abdul Kada ...
IEEE

Optimizing Fault Tolerance and Latency of Federated Learning Using Edge Servers and Pre-Trained Model

Abstract: Federated learning (FL) presents a promising paradigm for decentralized machine learning, particularly well-suited for data-sensitive cyber-physical systems (CPS) where privacy preservation ...
Devdiscourse

How machine learning and IoT are building factories of future

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...
IEEE

Towards Communication-Efficient Federated Learning via Sparse and Aligned Adaptive Optimization

Abstract: Adaptive moment estimation (Adam), as a Stochastic Gradient Descent (SGD) variant, has gained widespread popularity in federated learning (FL) due to its fast convergence. However, federated ...

$19.81 Bn AI Medical Diagnosis App Markets, 2026-2040 Industry Trends and Global Forecasts - Federated Learning and Explainable AI Lead the Way

AI medical diagnosis apps offer major opportunities in enhancing diagnostic accuracy and efficiency through AI algorithms.