PAPR Reduction in MIMO-OFDM via Power Efficient Transmit Waveform Shaping
In this paper we revisit the long-standing problem of peak-to-average power ratio minimization in MIMO-OFDM systems with a new angle of approach […]
Communication-Efficient and Federated Multi-Agent Reinforcement Learning
In this paper, we consider a distributed reinforcement learning setting where agents are communicating with a central entity in a shared environment […]
Iterative Reweighted Algorithms for Joint User Identification and Channel Estimation in Spatially Correlated Massive MTC
Joint user identification and channel estimation (JUICE) is a main challenge in grant-free massive machine-type communications (mMTC). The sparse pattern in users’ […]
Q-GADMM
In this article, we propose a communication-efficient decentralized machine learning (ML) algorithm, coined quantized group ADMM (Q-GADMM) . To reduce the number […]
L-FGADMM
This article proposes a communication-efficient decentralized deep learning algorithm, coined layer-wise federated group ADMM (L-FGADMM). To minimize an empirical risk, every worker […]
Non-convex weighted ℓp nuclear norm based ADMM framework for image restoration
Abstract Inspired by the fact that the matrix formed by nonlocal similar patches in a natural image is of low rank, the […]