Distributed computing Expected-rate constraints Coherent detection Statistics Coordination Broadcast channel Large random matrices Extra-reduction leakage Central Limit Theorem Jensen's inequality Optimization Optique adaptative Infrared communication Channel coding Speed-accuracy tradeoff Entropy Distributed estimation Mutual information Model Confusion coefficient Power allocation Communication Hypothesis testing Fitts' law Message blinding Neural network Multi-beam Broadcasting Montgomery modular multiplication Optical communications Cognitive radio Random Matrix Information theory Machine learning Protocols Side-channel analysis Multi-hop Joint cache-channel coding Fiber optics communications Caching Deep Learning Information Theory Bessel kernel Scheduling Error exponent Storage Anisoplanatism Fitts’ law Channel capacity Feedback DVB-T2 Optical communication Masking Fiber design and fabrication Joint source-channel coding Decision centers Multiplexing Gaussian noise Entropy power inequality Lattices Kolmogorov-Smirnov Analysis KSA Neural networks Energy consumption Packet loss Cyclostationarity Adaptive optics Energy harvesting Direct detection Throughput MapReduce Differential entropy Source coding Pointing Capacity Evaluation methodology Apprentissage profond Placement delivery array Resource allocation Random maximal monotone operators Distributed hypothesis testing Empirical distribution of the eigenvalues Computational modeling Downlink Compute-and-forward Multimode fiber Interference Optical fibers Expected rate constraints Intrusion detection Mathematical models in psychology Few-mode fibers Aggregation order MIMO Perfect feedback Multiple-input multiple-output MIMO channel Error exponents Variable-length coding Dynamical systems Loi de Fitts Deep learning