Frontiers

Trustworthy and Resilient AI for Smart Energy Systems: Frontier AI, Reinforcement Learning, and Security

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

DIKSHA's digital learning ecosystem crosses 575 crore learning sessions with 2.25 crore users

With 2.25 crore registered users, DIKSHA has powered 575.25 crore learning sessions, as per the Ministry of Education.
The Robot Report

We know how to build smarter robots. Now, we need to learn smarter ways to test them

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...
IEEE

FedFleet: A Hierarchical Federated Learning Framework for Faster Convergence in Heterogeneous IoT Systems

Abstract: The Internet of Things (IoT) connects numerous heterogeneous devices that collect and generate substantial sensitive data to train intelligent models. To protect the privacy of such data, ...
IEEE

Multi-Task Learning Resource Allocation in Federated Integrated Sensing and Communication Networks

Abstract: The future integrated sensing and communication (ISAC) networks is expected to equip with sufficient computation resources. However, current research focuses on single-domain resource ...