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cs.LG2026
ENAS: An Efficient Hardware-Aware Neural Architecture Search Framework for TinyML on Resource-Constrained Microcontrollers
Mohd Moin Khan, Naman Srivastava, Pandarasamy Arjunan
We present \textbf{ENAS}, a hardware-aware Neural Architecture Search (NAS) framework that combines a static feasibility check, a cell-based search space supporting standard, depth…
cs.LG2026
Personalized Federated Sparse Adaptation of Time-Series Foundation Models
Priyanka Nihalchandani, Naman Srivastava, Varun Ojha +1
Federated adaptation of time-series foundation models (TSFMs) is attractive for building energy forecasting because meter data are private, distributed, and highly non-IID. However…