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06/13/2023
GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems
The optimal implementation of federated learning (FL) in practical edge ...
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06/04/2023
Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation
Low-rank model compression is a widely used technique for reducing the c...
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11/26/2021
An Optimization Framework for Federated Edge Learning
The optimal design of federated learning (FL) algorithms for solving gen...
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10/25/2021
Optimization-Based GenQSGD for Federated Edge Learning
Optimal algorithm design for federated learning (FL) remains an open pro...
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04/21/2021
Efficient Sparse Coding using Hierarchical Riemannian Pursuit
Sparse coding is a class of unsupervised methods for learning a sparse r...
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03/02/2021
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method
Dictionary learning is a widely used unsupervised learning method in sig...
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06/13/2020
Line-of-Sight MIMO for High Capacity Millimeter Wave Backhaul in FDD Systems
Wireless backhaul is considered to be the key part of the future wireles...
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04/26/2020
Blind Data Detection in Massive MIMO via â„“_3-norm Maximization over the Stiefel Manifold
Massive MIMO has been regarded as a key enabling technique for 5G and be...
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02/24/2020
Complete Dictionary Learning via â„“_p-norm Maximization
Dictionary learning is a classic representation learning method that has...
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01/16/2020
An Efficient Algorithm for Designing Optimal CRCs for Tail-Biting Convolutional Codes
This paper proposes an efficient algorithm for designing the distance-sp...
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10/22/2019
Parallel Stochastic Optimization Framework for Large-Scale Non-Convex Stochastic Problems
In this paper, we consider the problem of stochastic optimization, where...
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03/12/2019
Two-Timescale Hybrid Compression and Forward for Massive MIMO Aided C-RAN
We consider the uplink of a cloud radio access network (C-RAN), where ma...
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10/17/2018
Mixed-Timescale Online PHY Caching for Dual-Mode MIMO Cooperative Networks
Recently, physical layer (PHY) caching has been proposed to exploit the ...
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01/25/2018
Stochastic Successive Convex Optimization for Two-timescale Hybrid Precoding in Massive MIMO
Hybrid precoding, which consists of an RF precoder and a baseband precod...
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01/25/2018
