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Explicit constructions of MSR codes for the rack-aware storage model.

, and . ISIT, page 226-230. IEEE, (2019)

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Clustering-based Curriculum Construction for Sample-Balanced Federated Learning., , , , , and . CICAI (3), volume 13606 of Lecture Notes in Computer Science, page 155-166. Springer, (2022)Explicit constructions of MSR codes for the rack-aware storage model., and . ISIT, page 226-230. IEEE, (2019)Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data., , , , , and . ACM Multimedia, page 3099-3107. ACM, (2023)Class-level Structural Relation Modeling and Smoothing for Visual Representation Learning., , , , , and . ACM Multimedia, page 2964-2972. ACM, (2023)The capacity of online (causal) q-ary error-erasure channels., , and . ISIT, page 915-919. IEEE, (2016)Cross-Training with Prototypical Distillation for improving the generalization of Federated Learning., , , , and . ICME, page 648-653. IEEE, (2023)A Characterization of the Capacity of Online (causal) Binary Channels., , and . STOC, page 287-296. ACM, (2015)The repair problem under connectivity constraints: Explicit MSR codes for the rack-aware model of distributed storage., and . Allerton, page 710-714. IEEE, (2018)The Capacity of Online (Causal) $q$ -Ary Error-Erasure Channels., , and . IEEE Trans. Inf. Theory, 65 (6): 3384-3411 (2019)Low-access repair of Reed-Solomon codes in rack-aware storage., and . ISIT, page 1142-1147. IEEE, (2023)