Congratulation to Dr. Ahmed of our group along with his collabrators from KAUST for the publication of REFL: Resource-Efficient Federated Learning in ACM EuroSys 2023. In this work, we find that Existing FL schemes use random participant selection to improve the fairness of the selection process; however, this can result in inefficient use of resources and lower quality training. In this work, we systematically address the question of resource efficiency in FL, showing the benefits of intelligent participant selection, and incorporation of updates from straggling participants. We demonstrate how these factors enable resource efficiency while also improving trained model quality.