Reducing communication overhead in distributed learning by an order of magnitude (almost)

Research article (2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015) · cited 19× · AI/ML
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Reducing communication overhead in distributed learning by an order of magnitude (almost)

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Reducing communication overhead in distributed learning by an order of magnitude (almost) is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Reducing communication overhead in distributed learning by an order of magnitude (almost). Retrieved May 24, 2026, from https://4ort.xyz/entity/reducing-communication-overhead-in-distributed-learning-by-an-order-of-magnitude-almost
MLA “Reducing communication overhead in distributed learning by an order of magnitude (almost).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reducing-communication-overhead-in-distributed-learning-by-an-order-of-magnitude-almost.
BibTeX @misc{4ortxyz_reducing-communication-overhead-in-distributed-learning-by-an-order-of-magnitude-almost_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reducing communication overhead in distributed learning by an order of magnitude (almost)}}, year = {2026}, url = {https://4ort.xyz/entity/reducing-communication-overhead-in-distributed-learning-by-an-order-of-magnitude-almost}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Reducing communication overhead in distributed learning by an order of magnitude (almost) — https://4ort.xyz/entity/reducing-communication-overhead-in-distributed-learning-by-an-order-of-magnitude-almost (retrieved 2026-05-24)

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