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Take It or Leave It: A Survey Study on Operating System Upgrade Practices., , , , and . ACSAC, page 490-504. ACM, (2018)Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing., , , and . CoRR, (2021)FedRule: Federated Rule Recommendation System with Graph Neural Networks., , , , , and . IoTDI, page 197-208. ACM, (2023)Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation., , , and . BMVC, page 100. BMVA Press, (2021)Distributed Personalized Empirical Risk Minimization., , , and . CoRR, (2023)Distributionally Robust Federated Averaging., , and . NeurIPS, (2020)Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization., , , and . NeurIPS, page 11080-11092. (2019)Federated Learning with Compression: Unified Analysis and Sharp Guarantees., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2350-2358. PMLR, (2021)Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 6840-6861. PMLR, (2022)Intelligent Portrait Composition Assistance: Integrating Deep-learned Models and Photography Idea Retrieval., , , and . ACM Multimedia (Thematic Workshops), page 17-25. ACM, (2017)