An SDK for multi-agent collaborative perception.

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

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

NEBULA: A Platform for Decentralized Federated Learning

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

[ICLR'25] Official Implementation of STAMP: Scalable Task And Model-agnostic Collaborative Perception

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:

Expert Systems With Applications - Camera clustering for scalable stream-based active distillation

Official implementation of FedGAT: Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction (https://arxiv.org/abs/2502.04521)

Fedstellar: A Platform for Decentralized Federated Learning

Multi-agent reinforcement learning framework for Unity environments. Implements MAPPO, MASAC, MATD3, and MADDPG with comprehensive evaluation tools. Features sample-efficient training, competitive analysis, and pre-trained models achieving great performance in Tennis and Soccer environments.

Multi-UAV Assisted Mobile Edge Computing: A hybrid optimization approach of combining multi-agent RL techniques with collaborative and adaptive caching policies for supporting mobile edge computing through UAVs.

[AAAI-24] TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients

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

Human-Agent Collaborative Deep Reinforcement Learning

[TKDE-2024] "RDGT: Enhancing Group Cognitive Diagnosis with Relation-Guided Dual-Side Graph Transformer"

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

Welcome to the "Harnessing the Power of AI" workshop! This GitHub repository serves as a comprehensive resource for participants seeking hands-on learning and in-depth understanding of AI concepts, techniques, and tools.

Official implementation of our ICML'22 paper: "On the Convergence of the Shapley Value in Parametric Bayesian Learning Games".