Regent Scholarship Research with UWW where we are using machine learning in an autonomous driving lab to collect visual and lidar-based models to have optimal guidance of 60GHz Wireless Network.

Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays

Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems

This repository contains the code reproducing the results in the paper "Deep Completion Autoencoders for Radio Map Estimation"

Implementation of OFDM and OTFS transceivers on GNU Radio (software defined radio or SDR)

SIGCOMM 2022 Paper Open Source Codes and Design Files

mmVital-Signs project aims at vital signs detection and provide standard python API from Texas Instrument (TI) mmWave hardware, such as xWR14xx, xWR16xx and xWR68xx.

Convolutional neural network for estimating radio maps in urban environments

Scalable, Long-Range Communication for Monitoring and Tracking Systems Using Battery-less Tags

IEEE 802.11 a/g/p Transceiver

An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars

Correlative Channel Sounder for Fast Time Variance

A simple OFDM Radar implementation

Code and datasets for the paper "Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction" (RA-L, 2021)

Federated Multi-Task Learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

jemdoc with MathJax support and more

Federated Learning on XGBoost

A Benchmark of Real-world Image Dataset for Federated Learning

An open-source framework for machine learning and other computations on decentralized data.

gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning

A Deep Learning Meta-Framework and HPC Benchmarking Library

It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep gradient compression is a technique by which the gradients ar…

deep gradient compression optimizer