42 citations · 111 across the 18 of their papers we have counts for
25 papers
SAKSHI: Decentralized AI Platforms
Suma Bhat, Canhui Chen, Zerui Cheng +8
Large AI models (e.g., Dall-E, GPT4) have electrified the scientific, technological and societal landscape through their superhuman capabilities. These services are offered largely…
Proof of Backhaul: Trustfree Measurement of Broadband Bandwidth
Peiyao Sheng, Nikita Yadav, Vishal Sevani +4
Recent years have seen the emergence of decentralized wireless networks consisting of nodes hosted by many individuals and small enterprises, reawakening the decades-old dream of o…
The Role of Interactivity in Structured Estimation
Jayadev Acharya, Clément L. Canonne, Ziteng Sun +1
We study high-dimensional sparse estimation under three natural constraints: communication constraints, local privacy constraints, and linear measurements (compressive sensing). Wi…
Fundamental limits of over-the-air optimization: Are analog schemes optimal?
Shubham K Jha, Prathamesh Mayekar, Himanshu Tyagi
We consider over-the-air convex optimization on a dimensional space where coded gradients are sent over an additive Gaussian noise channel with variance . The codewords sa…
Optimal Rates for Nonparametric Density Estimation under Communication Constraints
Jayadev Acharya, Clément L. Canonne, Aditya Vikram Singh +1
We consider density estimation for Besov spaces when each sample is quantized to only a limited number of bits. We provide a noninteractive adaptive estimator that exploits the spa…
Information-constrained optimization: can adaptive processing of gradients help?
Jayadev Acharya, Clément L. Canonne, Prathamesh Mayekar +1
We revisit first-order optimization under local information constraints such as local privacy, gradient quantization, and computational constraints limiting access to a few coordin…