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## タイトル: セマンティックセグメンテーションのための深層領域分離とサンプルクラスタ化フェデレーテッドラーニング
## リンク: https://arxiv.org/abs/2410.14693
## 概要:
実証研究によると、Federated Learningは、Non Independent and Identically Distributed (IID) 設定において収束の問…
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## タイトル: 深層領域分離とサンプルクラスタ化連合学習によるセマンティックセグメンテーション
## リンク: https://arxiv.org/abs/2410.14693
## 概要:
実証研究によると、Federated Learningは、Non Independent and Identically Distributed (IID) 設定において収束性の問題を示すことが分か…
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**What would you like to be added/modified:**
This issue aims to achieve federated incremental learning in the case of sparse samples in KubeEdge-Ianvs, combining the advantages of existing federat…
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Hello, I am a graduate student in China. My research direction is the application of reinforcement learning in edge computing and federated learning. Recently, I carefully read your article "Expl…
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In the second paragraph of Federated Learning, I would emphasise that the gradient leakage is one example of a vulnerability. Maybe briefly also mention the others and that there might be still unknow…
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Does vertical federated learning of FedML support users to develop deep learning models?
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| Keywords | References | link |
|-------------------------------|-------------------------------|---------------------------------|
| D…
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Hi!
I'm apologize for the question that might come a few years late, but I have been digging into your paper, and there is one graph that I cannot explain: the number of round to convergence accord…
emduc updated
2 months ago
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Sorry to bother you, but I am reading your article and want the code of your paper. Could you please give me my contact information, zmeng0213@163.com
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### Problem Description
Ability to access underlying deep learning model written in pytorch. It would be nice to have API function call to read and write weights of network (e.g. generator and disc…