An Open Framework for Federated Learning.

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.

An SDK for multi-agent collaborative perception.

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent 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."

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

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:

NEBULA: A Platform for Decentralized Federated Learning

My Public Second Brain Framework and Style.

Fedstellar: A Platform for Decentralized Federated Learning

Simple and efficient way to learn a new programming language.

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

Human-Agent Collaborative Deep Reinforcement Learning

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

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