# FengHZ/KD3A

<https://repo.masters-masters.com/en/repos/FengHZ/KD3A>

[Home](https://repo.masters-masters.com/en) › [FengHZ](https://repo.masters-masters.com/en/owners/FengHZ) › [KD3A](https://repo.masters-masters.com/en/repos/FengHZ/KD3A)

FengHZ/KD3A has 119 stars on GitHub. Its RepoMasters card: Prototype tier. Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised…

| Field | Value |
| --- | --- |
| Owner | [FengHZ](https://repo.masters-masters.com/en/owners/FengHZ) |
| Stars | 119 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | domain-adaptation, federated-learning, unsupervised-learning, transfer-learning, deep-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [FengHZ/KD3A](https://github.com/FengHZ/KD3A) |

## Repository

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.