lvkexin (kelenlv)

kelenlv

Geek Repo

Company:Shanghai Jiao Tong University

Location:shanghai

Home Page:https://kelenlv.github.io/

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lvkexin's repositories

tomqingo.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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bagua

Bagua is a flexible and performant distributed training algorithm development framework.

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FedGen

Code and data accompanying the FedGen paper

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DKPCA-ADMM

A Decentralized Algorithm for Kernel Principal Component Analysis

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FedML

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

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ditto

Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)

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awesome-split-learning

A curated repository for various papers in the domain of split learning.

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Phishing-Dataset

Phishing dataset with more than 88,000 instances and 111 features. Web application available at. https://gregavrbancic.github.io/Phishing-Dataset/

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pFedHN

Official code implementation for "Personalized Federated Learning using Hypernetworks"

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Federated-Learning-and-Split-Learning-with-raspberry-pi

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

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Recorder

html5 js 录音 mp3 wav ogg webm amr 格式,支持pc和Android、ios部分浏览器、和Hybrid App(提供Android IOS App源码),微信也是支持的,提供H5版语音通话聊天示例 和DTMF编解码

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darts

Differentiable architecture search for convolutional and recurrent networks

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ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

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LG-FedAvg

[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

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fma

FMA: A Dataset For Music Analysis

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Awesome-Federated-Learning-1

Federated Learning Library: https://fedml.ai

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FedProx

Federated Optimization in Heterogeneous Networks (MLSys '20)

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FedNAS

FedNAS: Federated Deep Learning via Neural Architecture Search

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DINO

Distributed Newton-Type Optimization Method

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hqadmm_rota

Half Quadratic Alternating Direction Method of Multipliers for Robust Orthogonal Tensor Approximation

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key-book

key-book

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pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

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