avinashavuthu Goto Github PK

802.11ah-ns3

IEEE 802.11ah simulation module for NS-3

ahvisualizer

web visualization tool for IEEE 802.11ah ns-3 module

algorithms

My Implementation of a few algorithms required for problem solving.

ann_in_css

ANN applications in Cooperative Spectrum Sensing

bbn_80211

click

The Click modular router: fast modular packet processing and analysis

client-server-fast-file-transfer-using-udp-on-python

cognitiva

A Cognitive Radio protocol implementation using GNU Radio

cognitive-radio-network

The project was developed under the GNU Radio platform and CRTS 'Cognitive Radio Test System under CORNET Testbed to demonstrate a simplified version of Cognitive Cycle.]

cognitive_radio_ml

Using Machine Learning for Spectrum Awareness

cogwave

Open-source software platform for cognitive radio waveforms

collision-avoidance-using-markov-decision-process

Avoiding car collisions using MDP

computer-networks

Computer Networks Lab tasks implemented on various network platforms including socket programming, Cisco packet tracer, Wireshark, and Nmap.

cre-ns3

Cognitive Radio Extension for NS3

crts

csn361

computer network laboratory assignments

deep-reinforcement-learning-for-5g-networks

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.

easyfl

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

fed-cdp

code for ICDCS2021 Gradient-Leakage Resilient Federated Learning

fed_iot_guard

Detection of IoT devices infected by malwares from their network communications, using federated machine learning

fedadapt

Adaptive Offloading of Federated Learning on IoT Devices

federated-learning-iot

A multilevel approach of applying federated learning to large-scale (IoT-based) system, e.g. Smart Cities, etc.

federatedlearning

Federated Learning Demo in Python using Socket Programming

fedml-iot

FedML-IoT: Federated Learning on IoT Devices (supported by FedML framework)

gr-ieee802-11

IEEE 802.11 a/g/p Transceiver

gr-ieee802-15-4

IEEE 802.15.4 ZigBee Transceiver

heterofl-computation-and-communication-efficient-federated-learning-for-heterogeneous-clients

HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

ieee-802.11ah-ns-3

markovify

A simple, extensible Markov chain generator.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.