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Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
The next-generation of wireless networks will enable many machine learni...
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Gradient Coding with Dynamic Clustering for Straggler-Tolerant Distributed Learning
Distributed implementations are crucial in speeding up large scale machi...
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Federated Edge Learning with Misaligned Over-The-Air Computation
Over-the-air computation (OAC) is a promising technique to realize fast ...
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A Reinforcement Learning Approach to Age of Information in Multi-User Networks with HARQ
Scheduling the transmission of time-sensitive information from a source ...
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Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary
We consider a user releasing her data containing some personal informati...
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Speeding Up Private Distributed Matrix Multiplication via Bivariate Polynomial Codes
We consider the problem of private distributed matrix multiplication und...
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Federated mmWave Beam Selection Utilizing LIDAR Data
Efficient link configuration in millimeter wave (mmWave) communication s...
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Dopamine: Differentially Private Federated Learning on Medical Data
While rich medical datasets are hosted in hospitals distributed across t...
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Time-Correlated Sparsification for Communication-Efficient Federated Learning
Federated learning (FL) enables multiple clients to collaboratively trai...
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A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning over Noisy Channels
We propose a novel formulation of the "effectiveness problem" in communi...
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FedADC: Accelerated Federated Learning with Drift Control
Federated learning (FL) has become de facto framework for collaborative ...
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Private Wireless Federated Learning with Anonymous Over-the-Air Computation
We study the problem of differentially private wireless federated learni...
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FedRec: Federated Learning of Universal Receivers over Fading Channels
Wireless communications are often subject to fading conditions. Various ...
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Distributed Sparse SGD with Majority Voting
Distributed learning, particularly variants of distributed stochastic gr...
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Gradient Coding with Dynamic Clustering for Straggler Mitigation
In distributed synchronous gradient descent (GD) the main performance bo...
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Blind Federated Edge Learning
We study federated edge learning (FEEL), where wireless edge devices, ea...
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Communicate to Learn at the Edge
Bringing the success of modern machine learning (ML) techniques to mobil...
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Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding
We introduce deep learning based communication methods for adaptive-band...
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On Perfect Obfuscation: Local Information Geometry Analysis
We consider the problem of privacy-preserving data release for a specifi...
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Optimal Scheduling Policy for Minimizing Age of Information with a Relay
We consider IoT sensor network where multiple sensors are connected to c...
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Smart Meter Data Privacy
Smart grids (SGs) promise to deliver dramatic improvements compared to t...
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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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Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells
To meet the growing quest for enhanced network capacity, mobile network ...
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Wireless Image Retrieval at the Edge
We study the image retrieval problem at the wireless edge, where an edge...
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Secure Distributed Matrix Computation with Discrete Fourier Transform
We consider the problem of secure distributed matrix computation (SDMC),...
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Coded Distributed Computing with Partial Recovery
Coded computation techniques provide robustness against straggling worke...
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Pruning the Pilots: Deep Learning-Based Pilot Design and Channel Estimation for MIMO-OFDM Systems
With the large number of antennas and subcarriers, the overhead due to p...
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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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Age-Based Coded Computation for Bias Reduction in Distributed Learning
Coded computation can be used to speed up distributed learning in the pr...
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Age-of-Information with Information Source Diversity in an Energy Harvesting System
Age of information (AoI) is one of the key performance metrics for Inter...
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Straggler-aware Distributed Learning: Communication Computation Latency Trade-off
When gradient descent (GD) is scaled to many parallel workers for large ...
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Strong Converse for Testing Against Independence over a Noisy channel
A distributed binary hypothesis testing (HT) problem over a noisy channe...
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Coded Caching in Multi-server System with Random Topology
Cache-aided content delivery is studied in a multi-server system with P ...
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Distributed Deep Convolutional Compression for Massive MIMO CSI Feedback
Massive multiple-input multiple-output (MIMO) systems require downlink c...
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Decentralized SGD with Over-the-Air Computation
We study the performance of decentralized stochastic gradient descent (D...
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Privacy-Aware Time-Series Data Sharing with Deep Reinforcement Learning
Internet of things (IoT) devices are becoming increasingly popular thank...
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Deep Joint Transmission-Recognition for Power-Constrained IoT Devices
We propose a joint transmission-recognition scheme for efficient inferen...
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Deep Learning for Massive MIMO Channel State Acquisition and Feedback
Massive multiple-input multiple-output (MIMO) systems are a main enabler...
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Update Aware Device Scheduling for Federated Learning at the Wireless Edge
We study federated learning (FL) at the wireless edge, where power-limit...
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Bivariate Polynomial Coding for Exploiting Stragglers in Heterogeneous Coded Computing Systems
Polynomial coding has been proposed as a solution to the straggler mitig...
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One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
Federated edge learning (FEEL) is a popular framework for model training...
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Information transmission bounds between moving terminals
In networks of mobile autonomous agents, e.g. for data acquisition, we m...
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Multi-Antenna Coded Content Delivery with Caching: A Low-Complexity Solution
We study downlink beamforming in a single-cell network with a multi-ante...
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DeepJSCC-f: Deep Joint-Source Channel Coding of Images with Feedback
We consider wireless transmission of images in the presence of channel o...
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Average Age-of-Information with a Backup Information Source
Data collected and transmitted by Internet of things (IoT) devices are t...
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Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
Federated learning (FL) enables workers to learn a model collaboratively...
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Deep Joint Source-Channel Coding for Wireless Image Retrieval
Motivated by surveillance applications with wireless cameras or drones, ...
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Management and Orchestration of Virtual Network Functions via Deep Reinforcement Learning
Management and orchestration (MANO) of resources by virtual network func...
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CNN-based Analog CSI Feedback in FDD MIMO-OFDM Systems
Massive multiple-input multiple-output (MIMO) systems require downlink c...
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Hierarchical Federated Learning Across Heterogeneous Cellular Networks
We study collaborative machine learning (ML) across wireless devices, ea...
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