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Federated Distributionally Robust Optimization for Phase Configuration of RISs

In this article, we study the problem of robust reconfigurable intelligent surface (RIS)-aided downlink communication over heterogeneous RIS types in the supervised learning setting. By modeling downlink communication over heterogeneous RIS designs …

Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation

Split-learning (SL) has recently gained popularity due to its inherent privacy-preserving capabilities and ability to enable collaborative inference for devices with limited computational power. Standard SL algorithms assume an ideal underlying …

Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent

In this paper, we propose an energy-efficient federated meta-learning framework. The objective is to enable learning a meta-model that can be fine-tuned to a new task with a few number of samples in a distributed setting and at low computation and …

Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels

Today’s intelligent applications can achieve high performance accuracy using machine learning (ML) techniques, such as deep neural networks (DNNs). Traditionally, in a remote DNN inference problem, an edge device transmits raw data to a remote node …

Detecting Underwater Laguerre Gaussian Modes using a Convolutional Neural Network

We propose the use of a convolutional neural network (CNN) to detect single and superpositions of Laguerre Gaussian modes in an underwater environment which will open the doors towards fast and reliable underwater optical wireless communications.

Efficient outage probability evaluation of diversity receivers over α-μ fading channels

In this paper, we are interested in determining the cumulative distribution function of the sum of α - μ random variables in the setting of rare event simulations. To this end, we present an efficient importance sampling estimator. The main result of …

Fast Outage Probability Simulation for FSO Links with a Generalized Pointing Error Model

Over the past few years, free-space optical (FSO) communication has gained significant attention. In fact, FSO can provide cost-effective and unlicensed links, with high-bandwidth capacity and low error rate, making it an exciting alternative to …

On the sum of Gamma-Gamma Variates with Application to the Fast Outage Probability Evaluation over Fading Channels

The Gamma-Gamma distribution has recently emerged in a number of applications ranging from modeling scattering and reverberation in sonar and radar systems to modeling atmospheric turbulence in wireless optical channels. In this respect, assessing …