[ICML 2025] The Official implementation of our paper "Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off"
🎥 Build a YouTube clone with Dopamine, designed to replicate core features of the video-sharing platform for an engaging user experience.
🤝 Enable federated AI and compute sharing while preserving privacy, empowering users to control their data and collaborate on decentralized models.
🧠 Capture context seamlessly across devices and projects, enabling AI to maintain continuity in your digital brain system.
🔐 Implement a secure DevSecOps pipeline for a Tic Tac Toe game, ensuring code quality and smooth deployment with safety checks at every stage.
Military-grade drone swarm communication system in Rust with mesh networking, consensus, federated learning, and swarm intelligence
[Experimental] Federated Partial Identification for Causal Inference with OMOP CDM
Scoria AI is a decentralized AI agent framework on blockchain, enabling private, on-device Web3 intelligence for users and enterprises.
Build a decentralized AI infrastructure on Solana, enabling secure on-chain model training and creating a global marketplace for AI inference services.
This repository provides the Python code for "AIRSPAN-X", featuring federated learning with adaptive aggregation, SHAP-based interpretability, and anomaly detection using PrefixSpan. It enhances AQI prediction accuracy and transparency across IoT sensor networks.
decentralized privacy-preserving federated batch effect correction tool for omics data based on limma
NetFL is a framework for running Federated Learning (FL) experiments in simulated IoT and Fog/Edge computing environments, with support for heterogeneous devices and configurable network conditions.
Official code for Implicit Neural Federated Learning for Privacy-Preserved Biological Analysis
A benchmarking framework for decentralized optimization
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
DISCO is a code-free and installation-free browser platform that allows any non-technical user to collaboratively train machine learning models without sharing any private data.
Flower: A Friendly Federated AI Framework
Federated Learning (FL) experiment simulation in Python.
Top-1 compression suffices for federated unlearning with the help of adaptive error feedback
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