Code repo for the UAI 2023 paper "Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning".

Algorithms to recover input data from their gradient signal through a neural network

[NeurIPS 2019] Deep Leakage From Gradients

Instance-wise Batch Label Restoration via Gradients In Federated Learning (ICLR 2023)

OFDM 详细仿真过程Python实现

OFDM channel estimation and equalization

Focuses on the channel estimation of OFDM using LS and MMSE algorithms and its implementation

An end to end general OFDM system implementation on Python. It is modualrized for better understanding. Also written a function for LSE Channel Estimation and MMSE Channel Estimation.

there is matlab code for channel estimate with ls and dft and mmse

Reproducible research on the paper 'Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems'.

This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks

Tensorflow implementation of the paper "On Deep Learning-Based Channel Decoding".

On Deep Learning-based Channel Decoding

应用深度学习到OFDM通信系统中的论文文献汇总

We first implement an end-to end system on GNU radio using two USRP X310 for the transmitter and the receiver in an indoor setting. We then build a comprehensive model using the components individu…

Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways

A web app that makes programs data available to Google Pathways

Partly implemented paper "An Introduction to Deep Learning for the Physical Layer"

Simulation of Digital Communication (physical layer) in Python.

A simulation of a complete digital communication system with different modulation schemes in MATLAB for transmitting and receiving text messages.

Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8…

This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis

Using Keras to validate the simulation results according to Paper : "An Introduction to Deep Learning for the Physical Layer"