pFedMePersonalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
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Mutual labels: paper, federated-learning
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Mutual labels: paper
awesome-secure-computationAwesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.
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Mutual labels: paper
efficient-attentionAn implementation of the efficient attention module.
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Mutual labels: paper
federated-learningtf implementation of federated learning
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Mutual labels: federated-learning
cv-arxiv-daily🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
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Mutual labels: paper
resourcesNo description or website provided.
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Mutual labels: paper
FastAsyncVoxelSniperVoxel Sniper fork for modern Minecraft versions utilizing the improvements of FastAsyncWorldEdit
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Mutual labels: paper
lshensembleLSH index for approximate set containment search
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Mutual labels: paper
SGCPTACL 2020: Syntax-Guided Controlled Generation of Paraphrases
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Mutual labels: paper
CURLCode for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"
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Mutual labels: paper
External-Attention-pytorch🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
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Mutual labels: paper
PyAriesFLFederated Learning on HyperLedger Aries
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Mutual labels: federated-learning
MiraiMirai 未来 - A powerful Minecraft Server Software coming from the future
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Mutual labels: paper
Paper-ArchiveA collection of paper summaries from a wide range of topics related to Machine Learning
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Mutual labels: paper
DBADBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
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Mutual labels: federated-learning
ambianic-edgeThe core runtime engine for Ambianic Edge devices.
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Mutual labels: federated-learning
transformer generalizationThe official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.
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Mutual labels: paper
is-cvImage Segmentation Enhancements and Optimizations: A Stochastic Approach
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Mutual labels: paper
distributed-learning-contributivitySimulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
Stars: ✭ 49 (-35.53%)
Mutual labels: federated-learning