jimmyc96

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Awesome-LLM-FM-Wireless-Communication-Networking

A curation list of Awesome LLM/FM for wireless communication and networking papers, including applications, benchmarks, datasets, codes/implementations, and related resources.

DL-ActiveSensing

Active Sensing for Communications by Learning

Federated-Learning-with-Differential-Privacy

Implementation of dp-based federated learning framework using PyTorch

FedGraB

FedRepo

PFL-Non-IID

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.

spectral-dis-FL

FedCorr

CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction

FedLoGe

jimmyc96/Awesome-LLM-FM-Wireless-Communication-Networking

A curation list of Awesome LLM/FM for wireless communication and networking papers, including applications, benchmarks, datasets, codes/implementations, and related resources.

jimmyc96/FedRepo

jimmyc96/Federated-Learning-with-Differential-Privacy

Implementation of dp-based federated learning framework using PyTorch

jimmyc96/PFL-Non-IID

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.

jimmyc96/spectral-dis-FL

jimmyc96/Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

jimmyc96/DL-ActiveSensing

Active Sensing for Communications by Learning

jimmyc96/easyFL

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

jimmyc96/Federated-Learning-1

An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch

jimmyc96/FedGraB

jimmyc96/FedLab-benchmarks

Standard federated learning implementations in FedLab and FL benchmarks.

jimmyc96/FedPAQ-MNIST-implemenation

An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))

jimmyc96/fl-arbitrary-participation

Code for paper "A Unified Analysis of Federated Learning with Arbitrary Client Participation"

jimmyc96/jimmyc96

Config files for my GitHub profile.

jimmyc96/jimmyc96.github.io

Homepage

jimmyc96/jmlr-style-file

LaTeX style file for the Journal of Machine Learning Research

jimmyc96/LLaMA-Adapter

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

jimmyc96/LLM-Adapters

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

jimmyc96/MOON

Model-Contrastive Federated Learning (CVPR 2021)

jimmyc96/MultiObjectiveOptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

jimmyc96/neuralcollapse

Code reproducing Neural Collapse phenomenon on MSE and cross-entropy loss

jimmyc96/NIID-Bench

Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

jimmyc96/otfusion

Model Fusion via Optimal Transport, NeurIPS 2020

jimmyc96/plato

A new scalable federated learning research framework

jimmyc96/Practicing-Federated-Learning

jimmyc96/pytorch-cifar

95.47% on CIFAR10 with PyTorch

jimmyc96/pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

jimmyc96/RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

jimmyc96/sutd-thesis-template

jimmyc96/vpt

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119