In this fine-tuned multi-objective framework, the primary objective is established as the common global optimization objective in federated learning, specifically the expected empirical loss across all client datasets. The sub-objective is set as alleviating the gradient conflict between the global ...
2.Multi-objective Minimization的FL AFL的优化目标,第一篇文章。 作者说这个很像Multi-objective minimization (MoM)中的 Chebyshev approach,于是提出如下iterative的算法,这里adaptively “center” the user functions using function values from the previous iteration. 当函数f是光滑的时候,用quadratic bound得到: 强...
《2022-IEEE-FedMGDA+: Federated Learning meets Multi-objective Optimization》同样关注性能最差的设备,为了兼顾公平性和鲁棒性,提出了 FedMGDA+方法。通过修改参与者梯度合并的权重来改进联邦模型公平性。多目标优化更关心当前模型在所有参与者的结果,它使用帕累托稳定(Pareto-stationary)解决方案。《2021-NIPS-...
learning(DML)to transfer knowledge between these two models on local data.To overcome objective heterogeneity(OH),we design a shared global model that includes only certain parts,and the personalized model is task-specific and enhanced through mutual learning with the meme model.We evaluate the ...
Different from model quantization and partial model uploads presented in the previous chapter, evolutionary federated learning, more specifically, evolutionary federated neural architecture search, aims to optimize the architecture of neural network models, thereby reducing the communication costs caused by ...
Federated Learning适合以下任务: 训练数据涉及到隐私敏感 训练数据太大,无法集中收集 而该技术有很多不同名称,比如UC Berkeley使用的是共享学习(Shared Learning),而谷歌和腾讯系公司微众银行用的Federated Learning,但在中文翻译两者不同,前者用的是联盟学习,后者用的是联邦学习。而Federated Learning是世界范围使用较为...
并在Springer上发表了他们的研究结果：《Multi-institutional Deep Learning Modeling Without Sharing ...
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Stochastic, Distributed and Federated Optimization for Machine Learning. FL PhD Thesis. By Jakub Collaborative Deep Learning in Fixed Topology Networks Federated Multi-Task Learning Local Stochastic Approximation: A Unified View of...
（1）横向联邦学习。横向联邦学习又称为特征对齐的联邦学习（Feature-Aligned Federated Learning），是把...
所以，他们并没有产品化的能力，短期可能也没有落地的强需求，顶多算做一种技术研究。令人惊讶的是国内...