Scalable Learning with Privacy over Graphs

CNN architectures for GRAPH data

Joint Ranging and Clock Synchronization for Dense Heterogeneous IoT Networks

Calibration techniques for single-sensor ultrasound imaging with a coding mask

Asynchronous Distributed Edge-Variant Graph Filters

On the Limits of Finite-Time Distributed Consensus Through Successive Local Linear Operations

Aggregation Graph Neural Networks

Observing Bandlimited Graph Processes from Subsampled Measurements

Sparse Antenna and Pulse Placement for Colocated MIMO Radar

Advances in Distributed Graph Filtering

Online Graph-Adaptive Learning with Scalability and Privacy

Sparse Sampling for Inverse Problems with Tensors

Doa Estimation in heteroscedastic noise

Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems

Time-domain oversampled orthogonal signal-division multiplexing underwater acoustic communications

Low-Complexity Equalization of Orthogonal Signal-Division Multiplexing in Doubly-Selective Channels

Controllability of bandlimited graph processes over random time varying graphs

Relative kinematics of an anchorless network

Graph filter design using sum-of-squares representation

Convolutional Graph Neural Networks