The Federated Averaging Algorithm: 最近大量成功的深度学习应用,几乎都是依赖随机梯度下降(SGD)来做优化的;事实上,很多进展也可理解为使模型结构(也包括损失函数)更适于(更可以)被一个简单的基于梯度的方法优化。因此,也很自然的从SGD开始构建联邦优化的算法。 SGD可以天然地应用于联邦优化问题,每一轮通信正好完成一...
Simple implementation of FedAvg, a Federated Learning algorithm. federated-learningfedavg UpdatedOct 10, 2023 Python The implementation of FedAvg based on pytorch . pytorchfederated-learningfedavg UpdatedNov 20, 2024 Python alexbie98/fedavg Star13 ...
Our code is based on the codes for FedProx, another federated algorithm used in heterogeneous networks. Usage First generate data by the following code. Here generate_random_niid is used to generate the dataset named as mnist unbalanced in our paper, where the number of samples among devices fo...
(NAG) algorithm. In Particular, Overlap-FedAvg is orthogonal to many other compression methods so that they could be applied together to maximize the utilization of the cluster. Besides, the theoretical analysis is provided to prove the convergence of the proposed framework. Extensive experiments ...
2023b. Pfllib: Personalized federated learning algorithm library. arXiv preprint arXiv:2312.04992. Citation @misc{Lee2024cwfedavg, title={Regularizing and Aggregating Clients with Class Distribution For Personalized Federated Learning}, author={Lee, Gyuejeong and Choi, Daeyoung}, year={2024}, e...