3 papers
cs.LG2026
DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning
Omar Bekdache, Naresh Shanbhag
Federated learning (FL) emerged as a popular distributed algorithm to train machine learning models on edge devices while preserving data privacy. However, FL systems face challeng…
cs.AI2026
AI+HW 2035: Shaping the Next Decade
Deming Chen, Jason Cong, Azalia Mirhoseini +27
Artificial intelligence (AI) and hardware (HW) are advancing at unprecedented rates, yet their trajectories have become inseparably intertwined. The global research community lacks…
cs.LG2024
Growing Efficient Accurate and Robust Neural Networks on the Edge
Vignesh Sundaresha, Naresh Shanbhag
The ubiquitous deployment of deep learning systems on resource-constrained Edge devices is hindered by their high computational complexity coupled with their fragility to out-of-di…