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A list of open problems in Decentralized AI

1 Updated Jan 29, 2025

Python logging made (stupidly) simple

Python 20,917 718 Updated Feb 25, 2025

Naptha is a framework and infrastructure for developing and running multi-agent systems at scale with heterogeneous models, architectures and data

Python 112 22 Updated Feb 28, 2025

Source code for our paper "Fair Decentralized Learning" in SaTML 2025.

Python 3 Updated Feb 5, 2025

Material workbench for the master-level course CS-E4740 "Federated Learning"

Jupyter Notebook 119 42 Updated Feb 27, 2025

Code for visualizing the loss landscape of neural nets

Python 2,923 409 Updated Apr 5, 2022

P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, making collaborative AI model training possible without reliance…

Python 96 22 Updated Feb 26, 2025

Source code for our paper "Boosting Asynchronous Decentralized Learning with Model Fragmentation" in ACM WWW 2025.

Python 1 Updated Feb 5, 2025

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 14+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

Python 7,348 578 Updated Feb 28, 2025

Releasing the spot availability traces used in "Can't Be Late" paper.

18 Updated Mar 31, 2024

Existing works list of DeAI

18 3 Updated Nov 27, 2024

An Open Framework for Federated Learning.

Python 756 219 Updated Feb 28, 2025

prime is a framework for efficient, globally distributed training of AI models over the internet.

Python 661 66 Updated Feb 19, 2025

Open source alternative to Splitwise

TypeScript 538 58 Updated Feb 8, 2025

Disaggregated serving system for Large Language Models (LLMs).

Jupyter Notebook 473 51 Updated Aug 19, 2024

High performance Transformer implementation in C++.

C++ 103 14 Updated Jan 18, 2025

The Benchmark of Data Heterogeneity Evaluation Approaches

Python 5 1 Updated Oct 31, 2024

A simulator for Decentralized Learning algorithms, based on discrete-event simulation

Python 5 2 Updated Feb 27, 2025

Contains the source code of our Middleware'24 paper "QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation"

Python 6 1 Updated Oct 2, 2024

SONAR - Self-Organizing Network of Aggregated Representations

Python 13 52 Updated Feb 28, 2025

Source code to support the paper "Noiseless Privacy Preserving Decentralized Learning" at PoPETS 2025.

Jupyter Notebook 5 1 Updated Nov 9, 2024

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

R 6,592 260 Updated Dec 10, 2024

Curated collection of papers in machine learning systems

243 14 Updated Feb 18, 2025

A simplified library for decentralized, privacy preserving machine learning

Python 339 100 Updated Nov 6, 2024

Privacy Testing for Deep Learning

Python 198 18 Updated Jul 20, 2023

An awesome list of papers on privacy attacks against machine learning

585 89 Updated Mar 18, 2024

A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).

243 22 Updated Nov 27, 2024

Perform data science on data that remains in someone else's server

Python 9,623 1,999 Updated Feb 23, 2025

Curated list of project-based tutorials

219,141 28,566 Updated Aug 15, 2024

Building blocks for foundation models.

454 19 Updated Jan 3, 2024
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