The Effects of Weight Quantization on Online Federated Learning for the IoT: A Case Study
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DOI: 10.1109/access.2024.3349557
Abstract: Many weight quantization approaches were explored to save the communication bandwidth between the clients and the server in federated learning using high-end computing machines. However, there is a lack of weight quantization research for online… read more here.
Keywords: effects weight; quantization; weight quantization; federated learning ... See more keywords
Communication-Efficient Online Federated Learning Strategies for Kernel Regression
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3218484
Abstract: This article presents communication-efficient approaches to federated learning (FL) for resource-constrained devices with access to streaming data. In particular, we first propose a partial-sharing-based framework for online federated learning (PSO-Fed), wherein clients update local models… read more here.
Keywords: pso fed; communication efficient; communication; online federated ... See more keywords