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Anchor Sampling for Federated Learning with Partial Client Participation.

, , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 37379-37416. PMLR, (2023)

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Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization., , , , , , and . IEEE Trans. Parallel Distributed Syst., 32 (5): 1030-1043 (2021)Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment., , , , and . IEEE Trans. Parallel Distributed Syst., 33 (1): 14-25 (2022)Fast Cooperative Content Distribution over Hybrid Wireless Networks., , , and . GLOBECOM, page 1-6. IEEE, (2015)Intermediate Value Size Aware Coded MapReduce., , , , and . ICPADS, page 348-355. IEEE, (2020)Anchor Sampling for Federated Learning with Partial Client Participation., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 37379-37416. PMLR, (2023)FastCache: A write-optimized edge storage system via concurrent merging cache for IoT applications., , , , , , , , and . J. Syst. Archit., (2022)Accelerating Federated Learning via Sampling Anchor Clients with Large Batches., , , , and . CoRR, (2022)Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning., , , , , and . CoRR, (2020)Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge., , , , , , and . ACM Comput. Surv., 54 (7): 151:1-151:36 (2022)Joint Service Placement and Container Retention for Serverless-Based Vehicular Edge Computing., , , and . ICPADS, page 2286-2294. IEEE, (2023)