值得一提的是,我之前确实也试过基于梯度上升的FL unlearning方法,实话实说,确实非常非常依赖调参,例如调节learning rate,以及调节gradient clipping的参数,否则没几轮,梯度就爆炸了,模型近乎变成一个随机初始化的模型,完全没法实用SOS)。另外,文章所描绘的方法,实际上也适用于machine unlearning,以及LLM的unlearning(毕竟...
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large ModelsFederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning[ACLFindings2023 ]Client-Customized Adaptation for Parameter-Efficient Federated Learning [ACLFindings2023]Communication ...
http://bing.comNeurIPS 2020 Contributed Talk - FedML: Federated Learning Research Library字幕版之后会放出,敬请持续关注欢迎加入人工智能机器学习群:556910946,会有视频,资料放送, 视频播放量 312、弹幕量 0、点赞数 2、投硬币枚数 0、收藏人数 3、转发人数 1, 视
For more information, refer to Releasing FedLLM: Build Your Own Large Language Models on Proprietary Data using the FedML Platform. FedML Octopus System hierarchy and heterogeneity is a key challenge in real-life FL use cases, where different data silos may have different ...
Federated learning (FL) offers a decentralized solution that enables collaborative learning while ensuring data privacy. In this study, we evaluated FL on 2 biomedical NLP tasks encompassing 8 corpora using 6 LMs. Our results show that: (1) FL models consistently outperformed models trained on ...
现实场景的 Federated learning 是在不同设备的不同时间段训练和遗忘，遗忘请求和相关数据的影响往往是在...
An Industrial Grade Federated Learning Framework Python 5.8k 1.6k FATE-LLM Public Federated Learning for LLMs. Python 176 28 FATE-Flow Public Solution for deploying and managing end-to-end federated learning workflows Python 53 48 FATE-Serving Public A scalable, high-performance servin...
Paper tables with annotated results for Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Foundation models (FMs) are typically associated with large language models (LLMs), like ChatGPT, and are characterized by their scale and broad applicability. While these models provide transformative capabilities, they also introduce significant challenges, particularly concerning distributed model manageme...
The workshop aims to provide a platform for exchanging ideas on the future of federated learning surrounding audio applications. The main topics of interest include, but are not limited to: Topics of interest include, but are not limited to: ...