1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
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…
RES-DARE: Failure-Aware Expert Adaptation and Rollback-Safe Self-Repair for Intrusion Detection
Rahil Aftab, Anyash Prasad, Soumya Mazumdar +2
Intrusion detection systems are often trained under static benchmark conditions, although deployed network environments are affected by traffic drift, sensor noise, changing worklo…