ModConFlex<p><a href="https://mastodon.social/tags/ModConFlex" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModConFlex</span></a> <a href="https://mastodon.social/tags/MSCA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MSCA</span></a> researcher Ziqi Wang is a co-author of "FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning" Federated learning (FL) emerges as a promising framework for <a href="https://mastodon.social/tags/Learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Learning</span></a> from <a href="https://mastodon.social/tags/DistributedData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DistributedData</span></a> while preserving privacy. It is useful in the <a href="https://mastodon.social/tags/WindEnergy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WindEnergy</span></a> sector. For instance, it enables <a href="https://mastodon.social/tags/CollaborativeTraining" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CollaborativeTraining</span></a> of <a href="https://mastodon.social/tags/WindPower" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WindPower</span></a> <a href="https://mastodon.social/tags/ForecastingModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ForecastingModels</span></a> among multiple <a href="https://mastodon.social/tags/WindFarms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WindFarms</span></a>, overcoming challenges associated with <a href="https://mastodon.social/tags/DataPrivacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataPrivacy</span></a> and <a href="https://mastodon.social/tags/CommercialCompetition" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CommercialCompetition</span></a>.</p><p><a href="https://arxiv.org/pdf/2402.13989.pdf" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/pdf/2402.13989.pdf</span><span class="invisible"></span></a></p>