Pinned Repositories
Accident-Query-System
AdaLoRA
AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).
AIJack
Machine Learning is not safe! Let's hijack Artificial Intelligence!
Auencoder-and-QMI
autograd-hacks
Awesome-Pruning
A curated list of neural network pruning resources.
BAFFLE
The official implement of paper "Does Federated Learning Really Need Backpropagation?"
FedEntropy
loss-landscape
Code for visualizing the loss landscape of neural nets
Muti-view-Action-Recognition
pengyuzhang97's Repositories
pengyuzhang97/FedEntropy
pengyuzhang97/AdaLoRA
AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).
pengyuzhang97/AIJack
Machine Learning is not safe! Let's hijack Artificial Intelligence!
pengyuzhang97/BAFFLE
The official implement of paper "Does Federated Learning Really Need Backpropagation?"
pengyuzhang97/continual-learning-ogdplus
Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)
pengyuzhang97/DynaFed
pengyuzhang97/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
pengyuzhang97/FedALA
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
pengyuzhang97/FedCor
Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
pengyuzhang97/FederatedGPT-Shepherd
Shepherd: A lightweight, foundational framework enabling federated instruction tuning for large language models
pengyuzhang97/FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
pengyuzhang97/FedPETuning
pengyuzhang97/FL-bench
Benchmark of federated learning, dedicated to the community.
pengyuzhang97/fwdgrad
Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch
pengyuzhang97/GradAttack
GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.
pengyuzhang97/leaf
Leaf: A Benchmark for Federated Settings
pengyuzhang97/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
pengyuzhang97/MeZO
[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
pengyuzhang97/NTK-SAP
[ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics
pengyuzhang97/O-LoRA
pengyuzhang97/pFedLA
PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning
pengyuzhang97/PFL-Non-IID
Personalized federated learning simulation platform with non-IID and unbalanced dataset
pengyuzhang97/relora
Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
pengyuzhang97/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
pengyuzhang97/S3Delta
code for paper Sparse Structure Search for Delta Tuning
pengyuzhang97/sparse-random-networks
Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated Learning".
pengyuzhang97/TCT
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
pengyuzhang97/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
pengyuzhang97/TREvaL
Reasonable Reward Evaluation of Large Language Models
pengyuzhang97/WSN