CSE-FSL combines an auxiliary network for local updates with periodic smashed-data uploads and a single server-side model, claiming convergence under non-convex loss and lower communication and storage costs.
Communication and storage efficient federated split learning,
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Federated Split Learning with Improved Communication and Storage Efficiency
CSE-FSL combines an auxiliary network for local updates with periodic smashed-data uploads and a single server-side model, claiming convergence under non-convex loss and lower communication and storage costs.