Fast converging Federated Learning with Non-IID Data. Naas, S. & Sigg, S. In 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), pages 1-6, 2023. doi bibtex @INPROCEEDINGS{10200108,
author={Naas, Si-Ahmed and Sigg, Stephan},
booktitle={2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)},
title={Fast converging Federated Learning with Non-IID Data},
year={2023},
volume={},
number={},
pages={1-6},
keywords={Performance evaluation;Weight measurement;Federated learning;Computational modeling;Merging;Data models;Bayes methods;Federated learning;communication reduction;non-iid data;edge computing;fog networks;Internet of things},
doi={10.1109/VTC2023-Spring57618.2023.10200108}}
Downloads: 0
{"_id":"y37ZBznxWxxy4KGdt","bibbaseid":"naas-sigg-fastconvergingfederatedlearningwithnoniiddata-2023","author_short":["Naas, S.","Sigg, S."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"propositions":[],"lastnames":["Naas"],"firstnames":["Si-Ahmed"],"suffixes":[]},{"propositions":[],"lastnames":["Sigg"],"firstnames":["Stephan"],"suffixes":[]}],"booktitle":"2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)","title":"Fast converging Federated Learning with Non-IID Data","year":"2023","volume":"","number":"","pages":"1-6","keywords":"Performance evaluation;Weight measurement;Federated learning;Computational modeling;Merging;Data models;Bayes methods;Federated learning;communication reduction;non-iid data;edge computing;fog networks;Internet of things","doi":"10.1109/VTC2023-Spring57618.2023.10200108","bibtex":"@INPROCEEDINGS{10200108,\n author={Naas, Si-Ahmed and Sigg, Stephan},\n booktitle={2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)}, \n title={Fast converging Federated Learning with Non-IID Data}, \n year={2023},\n volume={},\n number={},\n pages={1-6},\n keywords={Performance evaluation;Weight measurement;Federated learning;Computational modeling;Merging;Data models;Bayes methods;Federated learning;communication reduction;non-iid data;edge computing;fog networks;Internet of things},\n doi={10.1109/VTC2023-Spring57618.2023.10200108}}\n\n","author_short":["Naas, S.","Sigg, S."],"key":"10200108","id":"10200108","bibbaseid":"naas-sigg-fastconvergingfederatedlearningwithnoniiddata-2023","role":"author","urls":{},"keyword":["Performance evaluation;Weight measurement;Federated learning;Computational modeling;Merging;Data models;Bayes methods;Federated learning;communication reduction;non-iid data;edge computing;fog networks;Internet of things"],"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"http://ambientintelligence.aalto.fi/bibtex/LiteraturAll","dataSources":["aPfcTvMp5jE2KuS7H","a6QYyvmdLfrsx7DiL"],"keywords":["performance evaluation;weight measurement;federated learning;computational modeling;merging;data models;bayes methods;federated learning;communication reduction;non-iid data;edge computing;fog networks;internet of things"],"search_terms":["fast","converging","federated","learning","non","iid","data","naas","sigg"],"title":"Fast converging Federated Learning with Non-IID Data","year":2023}