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Project

Decentralized AI

Rohan Khanna

Publication

DAVED: Data Acquisition via Experimental Design for Data Markets

Publication

Split Inference - Metrics, Benchmarks and Algorithms

Abhishek Singh, Split Inference - Metrics, Benchmarks and Algorithms, ECCV'24

Publication

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images

Zaid Tasneem, DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images, ECCV'24

Publication

Decentralized AI Roundtable 3 - September 12, 2024

Publication

Decentralized AI Roundtable 2 - August 20, 2024

Publication

Decentralized AI Round Table 1: July 29, 2024

Publication

A Perspective on Decentralizing AI

Whitepaper

Publication

flame: A Framework for Learning in Agent-based ModEls

Chopra, Ayush, et al. "flame: A Framework for Learning in Agent-based ModEls." Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. 2024.

Publication

Posthoc privacy guarantees for collaborative inference

Singh, Abhishek, et al. "Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release." Advances in Neural Information Processing Systems 36 (2024).

Publication

Federated Conformal Predictors for Distributed Uncertainty Quantification

Lu, C.*, Yu, Y.*, Karimireddy, S. P., Jordan, M. I., & Raskar, R. (2023). Federated Conformal Predictors for Distributed Uncertainty Quantification. Fortieth International Conference on Machine Learning (ICML 2023)