Concurrent Split Learning Through Stable Client Clustering
Measurements characterize a trade-off among execution concurrency, assignment information, participation, and accuracy for stable-client split learning for stable-client split learning.
Mohammad Kohankhaki, Valentin Rentschler, A. Schmeink
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