45 citations · 168 across the 31 of their papers we have counts for
9 papers · 1 filter
Distributed Experimental Design Networks
Yuanyuan Li, Lili Su, Carlee Joe-Wong +2
As edge computing capabilities increase, model learning deployments in diverse edge environments have emerged. In experimental design networks, introduced recently, network routing…
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints
Yuezhou Liu, Yuanyuan Li, Lili Su +2
Significant advances in edge computing capabilities enable learning to occur at geographically diverse locations. In general, the training data needed in those learning tasks are n…
Rate Allocation and Content Placement in Cache Networks
Khashayar Kamran, Armin Moharrer, Stratis Ioannidis +1
We introduce the problem of optimal congestion control in cache networks, whereby \emph{both} rate allocations and content placements are optimized \emph{jointly}. We formulate thi…
DeepFIR: Addressing the Wireless Channel Action in Physical-Layer Deep Learning
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +3
Deep learning can be used to classify waveform characteristics (e.g., modulation) with accuracy levels that are hardly attainable with traditional techniques. Recent research has d…
Hacking the Waveform: Generalized Wireless Adversarial Deep Learning
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +4
This paper advances the state of the art by proposing the first comprehensive analysis and experimental evaluation of adversarial learning attacks to wireless deep learning systems…
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +5
Radio fingerprinting provides a reliable and energy-efficient IoT authentication strategy. By mapping inputs onto a very large feature space, deep learning algorithms can be traine…