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University of Florida
- Gainesville, FL
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08:25
(UTC -04:00) - https://www.trejeter.com/
- https://orcid.org/0000-0002-1998-4842
Highlights
- Pro
Starred repositories
Python Test Bed for Federated Learning Algorithms (PTB-FLA)
Anomaly detection using Federated Learning with FLEX.
High-scale Federated Learning (10M nodes) with formal BFT verification. Features 10ms zk-SNARKs and a 2026 PQC Overhaul: enforcing x25519-mlkem768 hybrid KEX, XMSS TPM-attestation, and epoch-based …
Official implementation of IEEE S&P 2026 paper "ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning through Activation Recovery"
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
[VLDB 2023] Model Selection for Anomaly Detection in Time Series
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Scaling Diffusion Transformers with Mixture of Experts
NVIDIA FastGen: Fast Generation from Diffusion Models
Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation
Implementations of a Mixture-of-Experts (MoE) architecture designed for research on large language models (LLMs) and scalable neural network designs. One implementation targets a **single-device/NP…
A containerized, general-purpose local AI ecosystem.
[CVPR2024] MMA-Diffusion: MultiModal Attack on Diffusion Models
A collection of resources and papers on Diffusion Models
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Federated learning quantum-classical image classification project
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Curated notebooks on how to train neural networks using differential privacy and federated learning.
Image augmentation for machine learning experiments.
An invisible desktop application to help you pass your technical interviews.
This repository contains code for analyzing the TEP dataset, which is a public dataset for evaluating fault detection and diagnosis algorithms in industrial systems. The dataset includes measuremen…