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cs.LG2026
When Adaptation Hurts: Split Sensitivity and Person-Level Negative Transfer in Federated Wearable Onboarding
Rahil Aftab, Vineet Kumar Rakesh, Soumya Mazumdar +1
Federated wearable models eventually serve people absent from source training, but favorable average accuracy does not establish that unlabeled onboarding helps each person. We eva…
cs.LG2026
DG-FedReuse: Proxy-Gradient-Gated Cached-Update Reuse with Matched Sparse Uplink Accounting
Rahil Aftab, Vineet Kumar Rakesh, Soumya Mazumdar +1
Federated learning repeatedly incurs local optimization and model-update transmission. We study DG-FedReuse, a simulator-level mechanism that allows selected clients to contribute…