Personalized federated learning on non-IID data via group-based meta-learning
Personalized federated learning (PFL) has emerged as a paradigm to provide a
personalized model that can fit the local data distribution of each client. One natural choice …
personalized model that can fit the local data distribution of each client. One natural choice …
FedPrune: personalized and communication-efficient federated learning on non-IID data
Y Liu, Y Zhao, G Zhou, K Xu - … 2021, Sanur, Bali, Indonesia, December 8 …, 2021 - Springer
Federated learning (FL) has been widely deployed in edge computing scenarios. However,
FL-related technologies are still facing severe challenges while evolving rapidly. Among …
FL-related technologies are still facing severe challenges while evolving rapidly. Among …
Adaptive Expert Models for Federated Learning
Federated Learning (FL) is a promising framework for distributed learning when data is
private and sensitive. However, the state-of-the-art solutions in this framework are not …
private and sensitive. However, the state-of-the-art solutions in this framework are not …
Unifying distillation with personalization in federated learning
S Divi - 2021 - search.proquest.com
Federated learning (FL) is a decentralized privacy-preserving learning technique in which
clients learn a joint collaborative model through a central aggregator without sharing their …
clients learn a joint collaborative model through a central aggregator without sharing their …
ToEFL: A Novel Approach for Training on Edge in Smart Agriculture
Billions of devices on the Internet of Things (IoT) capture massive amounts of data from
everyday events, raising privacy and security concerns. The current technology standard …
everyday events, raising privacy and security concerns. The current technology standard …
[PDF][PDF] ToEFL: A Novel Approach for Training on Edge for a Smart Agriculture Application
A Mitra, SP Mohanty, E Kougianos - 2024 - alakanandamitra.com
Billions of devices on the Internet of Things (IoT) capture massive amounts of data from
everyday events, raising privacy and security concerns. The current technology standard …
everyday events, raising privacy and security concerns. The current technology standard …