Pinned Repositories
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's Repositories
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/spectral-dis-FL
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/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