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AI Augmented Edge and Fog Computing: Trends and Challenges., , , , , , , , and . CoRR, (2022)TIFF: Tokenized Incentive for Federated Learning., , , , , , , and . CLOUD, page 407-416. IEEE, (2022)EPNAS: Efficient Progressive Neural Architecture Search., , , , , , and . CoRR, (2019)DySR: Adaptive Super-Resolution via Algorithm and System Co-design., , , , , and . ICLR, OpenReview.net, (2023)TiFL: A Tier-based Federated Learning System., , , , , , , , , and . HPDC, page 125-136. ACM, (2020)Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things., , , , , and . IEEE Internet Things J., 7 (7): 6325-6337 (2020)Local Training and Scalability of Federated Learning Systems., , and . Federated Learning, Springer, (2022)Towards Scalable, Private and Practical Deep Learning.. University of Nevada, Reno, USA, (2023)base-search.net (ftunivnevadair:oai:scholarworks.unr.edu:11714/8356).HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework., , , , and . CCGrid, page 311-321. IEEE, (2023)SMLT: A Serverless Framework for Scalable and Adaptive Machine Learning Design and Training., , , , , and . CoRR, (2022)