Golang LRU cache

A tool that simplifies training RL agents for cloud resource management by bridging CloudSim Plus with Gymnasium

Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Important data structures and algorithms implemented in Java along with solutions to AlgoExpert problems and some Leetcode problems.

Hardware implementation of RingSFL

Code for ScaleFL

pytorch Version of SplitNN_FSHA

Telecommunication system simulator in Matlab

CUDA application that uses multiple GPUs to compute matrix-matrix multiplication. The matrix is tiled to run from 1 to 8 devices. This code was part of my Bachelor thesis: "A Study on the Computati…

We created from scratch a software network file system middleware (using NFS semantics) via remote procedure calls(RPCs). Also, we implemented software caching on the client-side. (in Python)

Shared library for intercepting CUDA Runtime API calls. This was part of my Bachelor thesis: A Study on the Computational Exploitation of Remote Virtualized Graphics Cards (https://bit.ly/37tIG0D)

We created from scratch a middleware that supports group communication with reliable multicast and total order messaging delivery. This protocol was tested with a chat application. (in Python)

We implemented from scratch a mobile code middleware. We created a distributed execution environment that supports the interpretation and execution of a Simple-Script(basic language) program. This …

🎓Automatically Update Distributed Learning Papers Daily using Github Actions (Update Every 12th hours)

Website for Artifact Evaluation at EuroSys, SOSP, OSDI, ATC

Existing Literature about Machine Unlearning

Useful bash scripts and tricks

A collection of useful .gitignore templates

Implementation of dp-based federated learning framework using PyTorch

Training and serving large-scale neural networks with auto parallelization.

Support Vector Machine using the Sequential Minimal Optimization (SMO) with the Turkish descriptions. (Türkçe açıklamalı)

The first open Federated Learning framework implemented in C++ and Python.

[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time

Simple Python version management

Rust Bitcoin library