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Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge., , , , and . CoRR, (2022)FedAudio: A Federated Learning Benchmark for Audio Tasks., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Network error correction with unequal link capacities., , , and . Allerton, page 1387-1394. IEEE, (2009)Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks., , , , , , and . CoRR, (2020)FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings., , , , , , , , , and 14 other author(s). NeurIPS, (2022)Jupiter: a networked computing architecture., , , , , , , , , and . UCC Companion, page 28:1-28:8. ACM, (2021)A Scalable Approach for Privacy-Preserving Collaborative Machine Learning., , and . NeurIPS, (2020)GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training., , , , , , , , and . NeurIPS, page 5129-5139. (2018)Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training., , , , and . CoRR, (2024)Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter?, , , , and . Trans. Mach. Learn. Res., (2023)