2 papers
cs.LG2026
BERTO: Intent-Driven Network Time Series Forecasting via Natural Language Operator Preferences
Nitin Priyadarshini Shankar, Vaibhav Singh, Sheetal Kalyani +1
Traditional cellular traffic forecasting models are optimized for minimizing symmetric errors, leaving them indifferent to shifting operational priorities. To bridge this gap, we i…
cs.LG2026
Federated Learning of Binary Neural Networks: Enabling Low-Cost Inference
Nitin Priyadarshini Shankar, Soham Lahiri, Sheetal Kalyani +1
Federated Learning (FL) preserves privacy by distributing training across devices. However, using DNNs is computationally intensive at the low-powered edge during inference. Edge d…