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20202025
most citedMaking AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models

165 citations · 249 across the 25 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.LG2023

Anytime-Competitive Reinforcement Learning with Policy Prior

Jianyi Yang, Pengfei Li, Tongxin Li +2

This paper studies the problem of Anytime-Competitive Markov Decision Process (A-CMDP). Existing works on Constrained Markov Decision Processes (CMDPs) aim to optimize the expected…

cs.LG2023★ 1 cited

Robust Learning for Smoothed Online Convex Optimization with Feedback Delay

Pengfei Li, Jianyi Yang, Adam Wierman +1

We study a challenging form of Smoothed Online Convex Optimization, a.k.a. SOCO, including multi-step nonlinear switching costs and feedback delay. We propose a novel machine learn…

cs.AI2023★ 4 cited

Towards Environmentally Equitable AI via Geographical Load Balancing

Pengfei Li, Jianyi Yang, Adam Wierman +1

Fueled by the soaring popularity of large language and foundation models, the accelerated growth of artificial intelligence (AI) models' enormous environmental footprint has come u…

cs.LG2023★ 1 cited

Learning-Augmented Decentralized Online Convex Optimization in Networks

Pengfei Li, Jianyi Yang, Adam Wierman +1

This paper studies decentralized online convex optimization in a networked multi-agent system and proposes a novel algorithm, Learning-Augmented Decentralized Online optimization (…

cs.LG2023★ 1 cited

Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees

Pengfei Li, Jianyi Yang, Shaolei Ren

Many problems, such as online ad display, can be formulated as online bipartite matching. The crucial challenge lies in the nature of sequentially-revealed online item information,…

cs.LG2023

Robustified Learning for Online Optimization with Memory Costs

Pengfei Li, Jianyi Yang, Shaolei Ren

Online optimization with memory costs has many real-world applications, where sequential actions are made without knowing the future input. Nonetheless, the memory cost couples the…

cs.LG2023★ 165 cited

Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models

Pengfei Li, Jianyi Yang, Mohammad A. Islam +1

The growing carbon footprint of artificial intelligence (AI) has been undergoing public scrutiny. Nonetheless, the equally important water (withdrawal and consumption) footprint of…