FedCD: Personalized Federated Learning via Collaborative Distillation-Reference-Cited by-同舟云学术

FedCD: Personalized Federated Learning via Collaborative Distillation

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)
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Author:

Ahmad Sabtain¹,Aral Atakan²

Affiliation:

1. Institute of Information Systems Engineering Vienna University of Technology,Vienna,Austria

2. University of Vienna,Faculty of Computer Science,Vienna,Austria

Funder

CHIST-ERA

Austrian Science Fund

Publisher

IEEE

Link

Reference22 articles.

1. Three approaches for personalization with applications to federated learning;mansour;arXiv preprint arXiv 2002 10381,2020

2. Scaffold: Stochastic controlled averaging for federated learn-ing;karimireddy;Int'l Conference on Machine Learning,2020

3. Communication-efficient on-device machine learning;jeong;NIPS Workshop on Machine Learning of Phones and other Consumer Devices,2018

4. One-shot federated learning;guha;Workshop on ML on the Phone and other Consumer Devices,2019

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3. Data-centric Edge-AI: A Symbolic Representation Use Case;2023 IEEE International Conference on Edge Computing and Communications (EDGE);2023-07

4. Cost-Aware Neural Network Splitting and Dynamic Rescheduling for Edge Intelligence;Proceedings of the 6th International Workshop on Edge Systems, Analytics and Networking;2023-05-08