DiPLe: Learning Directed Collaboration Graphs for Peer-to-Peer Personalized Learning
Author:
Affiliation:
1. The Ohio State University,Electrical and Computer Engineering
2. The Ohio State University,Integrated Systems Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9965754/9965755/09965838.pdf?arnumber=9965838
Reference23 articles.
1. Adaptive personalized federated learning;deng,2020
2. Federated learning of a mixture of global and local models;hanzely,2020
3. Three approaches for personalization with applications to federated learning;mansour,2020
4. Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints
5. An efficient framework for clustered federated learning;ghosh;Advances in neural information processing systems,2020
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4. An Overview of Autonomous Connection Establishment Methods in Peer-to-Peer Deep Learning;IEEE Access;2024
5. DiPLe: Learning Directed Collaboration Graphs for Peer-to-Peer Personalized Learning;2022 IEEE Information Theory Workshop (ITW);2022-11-01
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