GitHub / fzhu0628 / G-CADA---Adaptive-worker-grouping-for-communication-efficient-and-straggler-tolerant-distributed-SGD

This work was published at IEEE ISIT 2022, where we proposed a novel algorithm named G-CADA aiming to improve the time and communication efficiency of distributed learning systems based on grouping and adaptive selection methods :smile:

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fzhu0628%2FG-CADA---Adaptive-worker-grouping-for-communication-efficient-and-straggler-tolerant-distributed-SGD

Topics: adaptive-selection, coding, distributed-learning, grouping, sgd

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