30 citations · 72 across the 11 of their papers we have counts for
12 papers
FedUP: Efficient Pruning-based Federated Unlearning for Model Poisoning Attacks
Nicolò Romandini, Cristian Borcea, Rebecca Montanari +1
Federated Learning (FL) can be vulnerable to attacks, such as model poisoning, where adversaries send malicious local weights to compromise the global model. Federated Unlearning (…
Generative models for wearables data
Arinbjörn Kolbeinsson, Luca Foschini
Data scarcity is a common obstacle in medical research due to the high costs associated with data collection and the complexity of gaining access to and utilizing data. Synthesizin…
KuberneTSN: a Deterministic Overlay Network for Time-Sensitive Containerized Environments
Andrea Garbugli, Lorenzo Rosa, Armir Bujari +1
The emerging paradigm of resource disaggregation enables the deployment of cloud-like services across a pool of physical and virtualized resources, interconnected using a network f…
A New Agent-Based Intelligent Network Architecture
Sisay Tadesse Arzo, Domenico Scotece, Riccardo Bassoli +3
The advent of 5G and the design of its architecture has become possible because of the previous individual scientific works and standardization efforts on cloud computing and netwo…
Self-supervision of wearable sensors time-series data for influenza detection
Arinbjörn Kolbeinsson, Piyusha Gade, Raghu Kainkaryam +2
Self-supervision may boost model performance in downstream tasks. However, there is no principled way of selecting the self-supervised objectives that yield the most adaptable mode…
Towards Industrial Private AI: A two-tier framework for data and model security
Sunder Ali Khowaja, Kapal Dev, Nawab Muhammad Faseeh Qureshi +2
With the advances in 5G and IoT devices, the industries are vastly adopting artificial intelligence (AI) techniques for improving classification and prediction-based services. Howe…