Layne Peng
where else to find them
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 3 in the filters
on a stage with
- Fangchi Wangonce
- Henry Zhangonce
- Neeraj Aroraonce
who talks about the same things
- Fangchi Wang2 talks
- Jiahao Chen4 talks
- Joinal Ahmed6 talks
- Michelle Megarry2 talks
- Mansi Sharma2 talks
- Ezequiel Lanza21 talks
| title | conference | date |
|---|---|---|
| FATE-LLM: Empowering Large Language Models with Federated Learning | KubeCon + CloudNativeCon + Open Source Summit China 2023 | 2023-09-26 |
FATE-LLM：利用联邦学习赋能大型语言模型 | FATE-LLM: Empowering Large Language Models with Federated Learning - Fangchi Wang & Layne Peng… | ||
| Federated Learning: Unlocking the Values of Discrete Data for Enterprise | Open AI + Data Forum @ Open Source Summit North America 2023 | 2023-05-10 |
Overview of production federated learning that cites two open source stacks—FATE and OpenFL—and tooling to run them across clouds including CubeFate and… | ||
| What, Why and How of Federated Machine Learning – Implementation Using... | Kubernetes AI Day North America 2021 | 2021-10-12 |
Deploys a two‑party FATE cluster on Kubernetes with KubeFATE and a FATE Operator for Kubeflow, trains a homo logistic regression on a Kaggle credit‑card fraud… | ||
| nothing matches | ||