Lists (11)
Stars
PyCIL: A Python Toolbox for Class-Incremental Learning
A robustness evaluation benchmarking procedure for SER
a pytorch implement of mobileNet v2 on cifar10
reveal the vulnerabilities of SplitNN
Releasing the source code Version1.
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.
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 …
LuckMonkeys / arxiv-daily
Forked from Vincentqyw/cv-arxiv-daily🎓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
Implementation of dp-based federated learning framework using PyTorch