Privacy-first ear biometric segmentation - 99%+ accuracy with <2M parameters for edge authentication and GDPR compliance

A stateful AI agent framework powered by the Cognitive Lattice to solve complex tasks with persistent memory and reliable tool orchestration.

Production Android AI with ExecuTorch 1.0 - Deploy PyTorch models to mobile with NPU acceleration and 50KB footprint

A curated collection of privacy-preserving machine learning techniques, tools, and practical evaluations. Focuses on differential privacy, federated learning, secure computation, and synthetic data generation for implementing privacy in ML workflows.

Privacy-first decentralized AI training network combining federated learning, blockchain incentives, and quantum-safe cryptography. Enable secure collaborative model development without sharing raw data.

Federated training on MNIST with differential privacy noise + FL metrics tracking

Depth-tracked regulatory audit primitives for privacy-preserving AI audits with signed envelopes and TenSEAL CKKS support.

Build a decentralized AI infrastructure on Solana, enabling secure on-chain model training and creating a global marketplace for AI inference services.

CloakBot — A privacy-first AI assistant that sanitizes your prompts locally with a local LLM before forwarding to remote LLM APIs.

Privacy-preserving AI for global agriculture. Enables policy-gated federated learning for sustainable yields and climate resilience while maintaining full farmer data sovereignty.

Policy-gated federated learning for global climate intelligence. Enables nation-sovereign AI for carbon tracking and risk analytics without sharing raw environmental data.

Privacy-preserving healthcare AI for global oncology research. Features policy-gated federated learning, HIPAA/GDPR compliance evidence, and a comprehensive research dashboard.

Flutter app: on-device MedGemma, FHIR via MCP, Apple Health + SQLite for private health Q&A and research.

Policy-gated federated learning for global supply-chain intelligence. Enables enterprise-sovereign AI for disruption prediction and carbon-compliant routing without sharing raw logistics data.

Agentic digital health assistant, powered by Federated Learning, autonomously supports patient recovery post-discharge while preserving privacy across clinical institutions.

GIDEON — AI case analysis for criminal defense attorneys. ASR (Atom-Structured Retrieval) methodology + paper + figures. Engine code private (under audit).

Implementation of Federated Unlearning for medical image classification using the FedEraser approach. Demonstrates how client data contributions can be removed from a trained federated learning model without full retraining.

A Modular Knowledge Transfer System for Large Language Models

Privacy-preserving medical diagnosis system using Federated Learning (Flower), Differential Privacy (Opacus), and FastAPI.

A decentralized, diffusion-based U-Net framework for privacy-preserving brain tumor segmentation from MRI images.