FedHM: Practical federated learning for heterogeneous model deployments-Reference-Cited by-同舟云学术

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FedHM: Practical federated learning for heterogeneous model deployments

Published:2023-08 Issue: Volume: Page:
ISSN:2405-9595
Container-title:ICT Express
language:en
Short-container-title:ICT Express

Author:

Park JaeYeon,Ko JeongGil

Funder

Ministry of Trade, Industry and Energy

Korea Institute for Advancement of Technology

National Research Foundation of Korea

Korea Creative Content Agency

Iran Telecommunication Research Center

Institute for Information Communication Technology Planning and Evaluation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference18 articles.

1. Enabling real-time sign language translation on mobile platforms with on-board depth cameras;Park;Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.,2021

2. SafeFac: Video-based smart safety monitoring for preventing industrial work accidents;Ahn;Expert Syst. Appl.,2023

3. VOCkit: A low-cost IoT sensing platform for volatile organic compound classification;Ahn;Ad Hoc Netw.,2021

4. Memory-efficient DNN training on mobile devices;Gim,2022

5. Adaptive personalized federated learning;Deng,2020

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