1 citations · 1 across the 1 of their papers we have counts for
3 papers
Latency-Aware Client Assignment for Parallel Split Learning With Global Sampling
Mohammad Kohankhaki, Valentin Rentschler, Anke Schmeink
In cross-silo split learning, Parallel Split Learning with Global Sampling forms representative pooled batches when class distributions differ across clients, but ignores client de…
Concurrent Split Learning Through Stable Client Clustering
Mohammad Kohankhaki, Valentin Rentschler, Anke Schmeink
Training with a fixed global batch limits how many distributed clients can provide examples in any one step. We examine a way to use additional server workers without increasing th…
Parallel Split Learning with Global Sampling
Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush +1
Parallel split learning (PSL) suffers from two intertwined issues: the effective batch size grows with the number of clients, and data that is not identically and independently dis…