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Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
Federated learning (FL), as a distributed machine learning paradigm, pro...
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Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness
Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are t...
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Context-Aware Security for 6G Wireless The Role of Physical Layer Security
Sixth generation systems are expected to face new security challenges, w...
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Federated Learning for 6G: Applications, Challenges, and Opportunities
Traditional machine learning is centralized in the cloud (data centers)....
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Learning-Based Distributed Random Access for Multi-Cell IoT Networks with NOMA
Non-orthogonal multiple access (NOMA) is a key technology to enable mass...
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A Meta-Learning Approach to the Optimal Power Flow Problem Under Topology Reconfigurations
Recently, there has been a surge of interest in adopting deep neural net...
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Reconfigurable Intelligent Surface assisted Multi-user Communications: How Many Reflective Elements Do We Need?
Reconfigurable intelligent surfaces (RISs) consisting of multiple reflec...
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6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities
We are on the cusp of a new era of connected autonomous vehicles with un...
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Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks
In this paper, the problem of the trajectory design for a group of energ...
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On Performance Comparison of Multi-Antenna HD-NOMA, SCMA and PD-NOMA Schemes
In this paper, we study the uplink channel throughput performance of a p...
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Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks
This paper studies an edge intelligence-based IoT network in which a set...
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Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges
After a century of relative stability of the electricity industry, exten...
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Detection of Spatially Modulated Signals via RLS: Theoretical Bounds and Applications
This paper characterizes the performance of massive multiuser spatial mo...
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Deep Reinforcement Learning for IoT Networks: Age of Information and Energy Cost Tradeoff
In most Internet of Things (IoT) networks, edge nodes are commonly used ...
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Fading Boundaries: On a Nonparametric Variant of the Kiefer–Weiss Problem
A nonparametric variant of the Kiefer–Weiss problem is proposed and inve...
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Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA systems
Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are t...
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Blind Federated Edge Learning
We study federated edge learning (FEEL), where wireless edge devices, ea...
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Fundamentals of Physical Layer Anonymous Communications: Sender Detection and Anonymous Precoding
In the era of big data, anonymity is recognized as an important attribut...
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Secure Transmission in IRS-Assisted MIMO Systems with Active Eavesdroppers
This work studies secure transmission in intelligent reflecting surfaces...
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Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing
Big data, including applications with high security requirements, are of...
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Towards Self-learning Edge Intelligence in 6G
Edge intelligence, also called edge-native artificial intelligence (AI),...
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Matrix-Monotonic Optimization Part II: Multi-Variable Optimization
In contrast to Part I of this treatise [1] that focuses on the optimizat...
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Learning Mixtures of Low-Rank Models
We study the problem of learning mixtures of low-rank models, i.e. recon...
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When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm
Motivated by the advancing computational capabilities of wireless end us...
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A Tutorial of Ultra-Reliable and Low-Latency Communications in 6G: Integrating Theoretical Knowledge into Deep Learning
As one of the key communication scenarios in the 5th and also the 6th ge...
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Power Efficiency, Overhead, and Complexity Tradeoff in IRS-Assisted Communications – Quadratic Phase-Shift Design
In this paper, we focus on large intelligent reflecting surfaces (IRSs) ...
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Smart Meter Data Privacy
Smart grids (SGs) promise to deliver dramatic improvements compared to t...
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Shannon Meets Turing: Non-Computability and Non-Approximability of the Finite State Channel Capacity
The capacity of finite state channels (FSCs) has been established as the...
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Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic
Edge nodes (ENs) in Internet of Things commonly serve as gateways to cac...
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Convergence of Federated Learning over a Noisy Downlink
We study federated learning (FL), where power-limited wireless devices u...
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Age of Information in Random Access Networks: A Spatiotemporal Study
We investigate the age-of-information (AoI) in the context of random acc...
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Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion
The paper considers distributed gradient flow (DGF) for multi-agent nonc...
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Fast-Convergent Federated Learning
Federated learning has emerged recently as a promising solution for dist...
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A Unified Framework for SINR Analysis in Poisson Networks with Traffic Dynamics
We study the performance of wireless links for a class of Poisson networ...
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Learning Centric Power Allocation for Edge Intelligence
While machine-type communication (MTC) devices generate massive data, th...
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A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks
In this paper, a joint task, spectrum, and transmit power allocation pro...
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Sample, Quantize and Encode: Timely Estimation Over Noisy Channels
The effects of quantization and coding on the estimation quality of Gaus...
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Challenges and Prospects of Negawatt Trading in Light of Recent Technological Developments
With the advancement of the smart grid, the current energy system is mov...
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Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
In federated optimization, heterogeneity in the clients' local datasets ...
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Deep Learning for Wireless Communications: An Emerging Interdisciplinary Paradigm
Wireless communications are envisioned to bring about dramatic changes i...
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Delay Minimization for Federated Learning Over Wireless Communication Networks
In this paper, the problem of delay minimization for federated learning ...
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RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network
Generative adversarial network (GAN) has attracted increasing attention ...
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Reconfigurable Intelligent Surface Assisted Device-to-Device Communications
With the evolution of the 5G, 6G and beyond, device-to-device (D2D) comm...
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On the Latency, Rate and Reliability Tradeoff in Wireless Networked Control Systems for IIoT
Wireless networked control systems (WNCSs) provide a key enabling techni...
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Pricing Fresh Data
We introduce the concept of fresh data trading, in which a destination u...
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Multi-Agent Reinforcement Learning for Cooperative Coded Caching via Homotopy Optimization
Introducing cooperative coded caching into small cell networks is a prom...
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Decentralized Beamforming Design for Intelligent Reflecting Surface-enhanced Cell-free Networks
Cell-free networks are considered as a promising distributed network arc...
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Federated Learning With Quantized Global Model Updates
We study federated learning (FL), which enables mobile devices to utiliz...
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Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
Although model-agnostic meta-learning (MAML) is a very successful algori...
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Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization
Min-max optimization captures many important machine learning problems s...
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