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Chasing Convex Functions with Long-term Constraints
We introduce and study a family of online metric problems with long-term constraints.
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
We introduce competitive (robust) threshold-based algorithms for both the minimization and maximization variants of this problem, and show they are optimal among deterministic online algorithms.
CEFL: Carbon-Efficient Federated Learning
Federated Learning (FL) distributes machine learning (ML) training across many edge devices to reduce data transfer overhead and protect data privacy.
Sustainable Computing -- Without the Hot Air
This growth will translate to exponential growth in computing's energy consumption unless improvements in its energy-efficiency can outpace increases in its demand.
SunDown: Model-driven Per-Panel Solar Anomaly Detection for Residential Arrays
There has been significant growth in both utility-scale and residential-scale solar installations in recent years, driven by rapid technology improvements and falling prices.
