124 citations · 1.2k across the 61 of their papers we have counts for
4 papers · 1 filter
Poster: Sponge ML Model Attacks of Mobile Apps
Souvik Paul, Nicolas Kourtellis
Machine Learning (ML)-powered apps are used in pervasive devices such as phones, tablets, smartwatches and IoT devices. Recent advances in collaborative, distributed ML such as Fed…
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case
Pantelitsa Leonidou, Nicolas Kourtellis, Nikos Salamanos +1
Users are daily exposed to a large volume of harmful content on various social network platforms. One solution is developing online moderation tools using Machine Learning techniqu…
Hierarchical Federated Learning with Privacy
Varun Chandrasekaran, Suman Banerjee, Diego Perino +1
Federated learning (FL), where data remains at the federated clients, and where only gradient updates are shared with a central aggregator, was assumed to be private. Recent work d…
FLaaS: Federated Learning as a Service
Nicolas Kourtellis, Kleomenis Katevas, Diego Perino
Federated Learning (FL) is emerging as a promising technology to build machine learning models in a decentralized, privacy-preserving fashion. Indeed, FL enables local training on…