An open framework for Federated Learning.

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception

An SDK for multi-agent collaborative perception.

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

a collaborative collection of interview questions collected from both sides of the game: Interviewer(s) and Interviewee.

Secure collaborative training and inference for XGBoost.

Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis - CVPR 2022

Official implementation of our work "Collaborative Fairness in Federated Learning."

Collective Knowledge repository with actions to unify the access to different predictive analytics engines (scipy, R, DNN) from software, command line and web-services via CK JSON API:

Learning to Walk with Dual Agents for Knowledge Graph Reasoning (AAAI'22)

Um repositório de código aberto para desenvolvedores compartilharem conhecimento e experiência. Vamos aprender e crescer juntos! 🚀

A Collaborative Learning platform: cataloging and remixing of Open Educational Resources (OER), e-mentoring and e-tutoring, Learning Analytics (LA), and more.

The code for the paper "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards" AAAI'22 Oral Presentation.

Human-Agent Collaborative Deep Reinforcement Learning

Fedstellar: A Platform for Decentralized Federated Learning

Changemakers want to solve big social problems. Changemappers help them find & support each other and long-lasting impactful systemic change.

Slides for the RStudio Enterprise Community Meetup

Repository of SWE573, Spring semester 2022, Boğaziçi University. This project is about developing a platform where people can learn, teach and socialize, completely for free. On this platform, members can create pages about topics they are learning about and post all kinds of resourses and learning materials.

Decentralized and Privacy-Preserving Machine Learning: Exploring the Power of Federated Learning.

Demonstration of unintentional leakage of private data in federated learning environment using Generative Adversarial Network (GAN)