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Lattice based distributed threshold additive homomorphic encryption with application in federated learning., , , , and . Comput. Stand. Interfaces, (January 2024)Preliminary Steps Towards Federated Sentiment Classification., , , , and . CoRR, (2021)Black-box Probe for Unsupervised Domain Adaptation without Model Transferring., , , , and . CoRR, (2021)To Store or Not? Online Data Selection for Federated Learning with Limited Storage., , , , , and . WWW, page 3044-3055. ACM, (2023)Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning., , , , , and . ICPP, page 462-471. ACM, (2023)Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation., , , , , and . IJCAI, page 934-940. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..A Distributed Threshold Additive Homomorphic Encryption for Federated Learning with Dropout Resiliency Based on Lattice., , , , and . CSS, volume 13547 of Lecture Notes in Computer Science, page 277-292. Springer, (2022)Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again., , , , , , and . NeurIPS, (2022)FedPHP: Federated Personalization with Inherited Private Models., , , , and . ECML/PKDD (1), volume 12975 of Lecture Notes in Computer Science, page 587-602. Springer, (2021)ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer., , , , , and . CoRR, (2022)