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🪂 We Are Officially Published!!!
🎶 Pretty baby, tattoos. Don't know what they mean, they're special, just for you 🎶
Sup y’all! Hope everyone’s summer is going well. I know we have been quiet for a while but we have some very exciting news to share!
As of 10 minutes ago, our Federated Learning team has had their work accepted to ICML (International Conference on Machine Learning)! We have been invited to fly out to Hawaii in July and present our work in person at the designated Federated Learning Workshop (FL-ICML2023)!
Title: FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning
We will be sharing the full paper once all the conference publications have been archived and made public.
Congratulations to Rishub Tamirisa, Chengjun Lu, John Won, Andy Zhou, and Ron Arel for this amazing accomplishment!
Also big thanks to Chulin Xie and Wenxuan Bao for overlooking this project and being there every step of the way.
This achievement marks a significant step forward in our journey, but we are only getting started. Our other teams are hard at work and will be submitting their work to peer-reviewed venues in the following months.
Look out for more updates on our end as we get closer to the Fall semester. Much more to come!
Local Artist Spotlight of the Day (Yoon Lee) @yoon.s.lee
[if you are a local artist in the urbana-champaign region and want to be featured on a future post, please reach out to: email@example.com]
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