Asilomar Conference on Signals, Systems, and Computers

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NEXT: In-Network Nonconvex Optimization (2016, methodology): “Algorithms belonging to the former class include: i) consensus-based (sub)gradient schemes [1]–[4] along with their accelerated and asynchronous versions [5]–[7]; ii) the (sub)gradient push-method [8], [9]; iii) the dual-average method [10], [11]; and iv) distributed secondorder-based schemes [12],…”
Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (2007, methodology): “as an EM algorithm, in the context of image deconvolution problems [45], [25].”