An Efficient Architecture for Edge AI Federated Learning with Homomorphic Encryption
AxEnMULT: Design of an Efficient and Reliable Approximate Encoding-Based Multiplier
XMULT: An Energy-Efficient Design of Approximate Multiplier
Structural Decision Diagrams in Digital Test
AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN Accelerators
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks
The CMS Fast Beam Condition Monitor for HL-LHC
Reliability-Critical Computation Offloading in UAV Swarms
Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning
Autonomous Realization of Safety- and Time-Critical Embedded Artificial Intelligence
Enhancing Global Model Performance in Federated Learning With Non-IID Data Using a Data-Free Generative Diffusion Model
TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction
Contrastive Learning for Lane Detection via cross-similarity
Heterogeneous Approximation of DNN HW Accelerators based on Channels Vulnerability