301 citations · 1.5k across the 70 of their papers we have counts for
5 papers · 1 filter
EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models
Matteo Caligiuri, Francesco Barbato, Pietro Zanuttigh +1
Recent data protection laws have accelerated the adoption of Federated Learning (FL) for privacy-preserving decentralized training. Nevertheless, increasing model sizes impose subs…
TinySense: Effective CSI Compression for Scalable and Accurate Wi-Fi Sensing
Toan Gian, Dung T. Tran, Viet Quoc Pham +2
With the growing demand for device-free and privacy-preserving sensing solutions, Wi-Fi sensing has emerged as a promising approach for human pose estimation (HPE). However, existi…
DARDA: Domain-Aware Real-Time Dynamic Neural Network Adaptation
Shahriar Rifat, Jonathan Ashdown, Francesco Restuccia
Test Time Adaptation (TTA) has emerged as a practical solution to mitigate the performance degradation of Deep Neural Networks (DNNs) in the presence of corruption/ noise affecting…
SAWEC: Sensing-Assisted Wireless Edge Computing
Khandaker Foysal Haque, Francesca Meneghello, Md. Ebtidaul Karim +1
Emerging mobile virtual reality (VR) systems will require to continuously perform complex computer vision tasks on ultra-high-resolution video frames through the execution of deep…
SINF: Semantic Neural Network Inference with Semantic Subgraphs
A. Q. M. Sazzad Sayyed, Francesco Restuccia
This paper proposes Semantic Inference (SINF) that creates semantic subgraphs in a Deep Neural Network(DNN) based on a new Discriminative Capability Score (DCS) to drastically redu…