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PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously., , , , and . CoRR, (2018)Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models., , , , and . CoRR, (2019)Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks., , , , , , and . CoRR, (2020)Federated Learning of Generative Image Priors for MRI Reconstruction., , , , , , , and . IEEE Trans. Medical Imaging, 42 (7): 1996-2009 (2023)Private Retrieval, Computing and Learning: Recent Progress and Future Challenges., , , , , and . CoRR, (2021)Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory., , , , and . CoRR, (2023)Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits., , , and . CoRR, (2022)Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge., , , , and . CoRR, (2022)Guest Editorial., , , , , , , and . IEEE J. Sel. Areas Inf. Theory, 3 (2): 161 (2022)SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing., , , , , , and . CoRR, (2022)