On the convergence of fedavg on no-iid data

WebIn this paper, we analyze the convergence of FedAvg on non-iid data. We investigate the effect of different sampling and averaging schemes, which are crucial especially when … Web14 de abr. de 2024 · For the IID data, the convergence speed of MChain-SFFL and Chain-PPFL is comparable for the CNN and MLP models. [ 10 ] shows that the convergence …

On the Convergence of FedAvg on Non-IID Data Request PDF

WebOn the Convergence of FedAvg on Non-IID Data. Federated learning enables a large amount of edge computing devices to jointly learn a model without data sharing. … WebOn the Convergence of FedAvg on Non-IID Data. (arXiv:1907.02189v1 [stat.ML]) Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang. Federated learning … songs to give you hope https://markgossage.org

lx10077/fedavgpy: On the Convergence of FedAvg on Non-IID …

WebWhile FedAvg actually works when the data are non-iid McMahan et al. (2024), FedAvg on non-iid data lacks theoretical guarantee even in convex optimization setting. There have … WebFigure 1: Cloud-based federated learning with the Federated Averaging algorithm. Step 1: Each client downloads the global model from the cloud server; Step 2: Each client updates its local model using its own data; Step 3: The server updates the global model by aggregating updates from clients. Repeat Steps 1-3 until the global model converges. - … Web4 de jul. de 2024 · On the Convergence of FedAvg on Non-IID Data. Federated learning enables a large amount of edge computing devices to learn a centralized model … small garden room with water heater

[PDF] Node Selection Toward Faster Convergence for Federated …

Category:On the Convergence of FedAvg on Non-IID Data DeepAI

Tags:On the convergence of fedavg on no-iid data

On the convergence of fedavg on no-iid data

[1907.02189] On the Convergence of FedAvg on Non-IID Data - arXiv.org

WebIn this paper, we analyze the convergence of FedAvgon non-iid data and establish a convergence rate of O(1 T ) for strongly convex and smooth problems, where Tis the … Web13 de abr. de 2024 · Unmanned aerial vehicles (UAV) or drones play many roles in a modern smart city such as the delivery of goods, mapping real-time road traffic and monitoring pollution. The ability

On the convergence of fedavg on no-iid data

Did you know?

Web4 de jul. de 2024 · Abstract: Federated learning enables a large amount of edge computing devices to jointly learn a model without data sharing. As a leading algorithm in this … Web27 de fev. de 2024 · Recently, federated learning (FL) has gradually become an important research topic in machine learning and information theory. FL emphasizes that clients jointly engage in solving learning tasks. In addition to data security issues, fundamental challenges in this type of learning include the imbalance and non-IID among clients’ data and …

Web10 de jun. de 2024 · type: Conference or Workshop Paper metadata version: 2024-06-10 Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang: On the … Web10 de abr. de 2024 · The FedProx algorithm proposed by Li et al. in 2024 18 is an improved FedAvg algorithm for partial local work that avoids data heterogeneity by introducing an approximation term. Li considered ...

Web24 de nov. de 2024 · On the Convergence of FedAvg on Non-IID Data Our paper is a tentative theoretical understanding towards FedAvg and how different sampling and … Web3 de jul. de 2024 · As a leading algorithm in this setting, Federated Averaging (\texttt {FedAvg}) runs Stochastic Gradient Descent (SGD) in parallel on a small subset of the …

Web18 de fev. de 2024 · Federated Learning (FL) is a distributed learning paradigm that enables a large number of resource-limited nodes to collaboratively train a model without data …

Web14 de abr. de 2024 · In this work, we rethink how to get a “good” representation in such scenarios. Especially, the Information Bottleneck (IB) theory [] has shown great power as an essential principle for representation learning from the perspective of information theory [2, 6, 27].The representation is encouraged to involve as much information about the target … small garden raised bed ideashttp://export.arxiv.org/abs/1907.02189 small garden rocking chairWebThis publication has not been reviewed yet. rating distribution. average user rating 0.0 out of 5.0. BibTeX. Endnote. APA. Chicago. DIN 1505. Harvard. songs to grind toWebOn the Convergence of FedAvg on Non-IID Data - YouTube 0:00 / 13:58 On the Convergence of FedAvg on Non-IID Data 206 views Mar 16, 2024 5 Dislike Share Save … songs to go to sleep adultsWeb10 de jun. de 2024 · Bibliographic details on On the Convergence of FedAvg on Non-IID Data. What do you think of dblp? You can help us understand how dblp is used and … songs to go to sleepWebZhao, Yue, et al. "Federated learning with non-iid data." arXiv preprint arXiv:1806.00582 (2024). Sattler, Felix, et al. "Robust and communication-efficient federated learning from non-iid data." IEEE transactions on neural networks and learning systems (2024). Li, Xiang, et al. "On the convergence of fedavg on non-iid data." arXiv preprint ... songs to have a good dayWebOn the Convergence of FedAvg on Non-IID Data Xiang Li School of Mathematical Sciences Peking University Beijing, 100871, China [email protected] Kaixuan … songs to go to sleep for teens