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Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs., , , , , , and . IEEE/ACM Trans. Netw., 30 (1): 215-228 (2022)Plan B: Design Methodology for Cyber-Physical Systems Robust to Timing Failures., , , , , , , , , and 1 other author(s). ACM Trans. Cyber Phys. Syst., 6 (3): 21:1-21:39 (2022)Demo: enabling mobile time-dependent pricing., , , , and . MobiSys, page 473-474. ACM, (2012)Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies., , , , and . INFOCOM, page 2762-2770. IEEE, (2018)On the Economic Value of Mobile Caching., and . INFOCOM, page 984-993. IEEE, (2020)Network-Aware Optimization of Distributed Learning for Fog Computing., , , , and . INFOCOM, page 2509-2518. IEEE, (2020)AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs., , , , , and . CoRR, (2017)On the Viability of a Cloud Virtual Service Provider., , , , , and . SIGMETRICS, page 235-248. ACM, (2016)MoDEMS: Optimizing Edge Computing Migrations For User Mobility., , , , , and . IWQoS, page 1-2. IEEE, (2021)AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning., , , , , and . IWQoS, page 1-10. IEEE, (2023)