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Learning to Optimize: Training Deep Neural Networks for Interference Management., , , , , and . IEEE Trans. Signal Process., 66 (20): 5438-5453 (2018)Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms., and . IEEE Trans. Signal Process., 67 (22): 5912-5928 (2019)Asynchronous Distributed ADMM for Large-Scale Optimization - Part I: Algorithm and Convergence Analysis., , , and . IEEE Trans. Signal Process., 64 (12): 3118-3130 (2016)Stochastic Proximal Gradient Consensus Over Random Networks., and . IEEE Trans. Signal Process., 65 (11): 2933-2948 (2017)Joint Access Point Selection and Power Allocation for Uplink Wireless Networks., , , and . IEEE Trans. Signal Process., 61 (13): 3334-3347 (2013)Base Station Activation and Linear Transceiver Design for Optimal Resource Management in Heterogeneous Networks., , , and . CoRR, (2013)Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization., , , and . CoRR, (2017)Distributed Controllers Seeking AC Optimal Power Flow Solutions Using ADMM., , , , and . IEEE Trans. Smart Grid, 9 (5): 4525-4537 (2018)Learning to Beamform in Heterogeneous Massive MIMO Networks., , and . IEEE Trans. Wirel. Commun., 22 (7): 4901-4915 (July 2023)Minimax Problems with Coupled Linear Constraints: Computational Complexity and Duality., , and . SIAM J. Optim., 33 (4): 2675-2702 (December 2023)