3 citations · 3 across the 11 of their papers we have counts for
3 papers · 1 filter
Distributed Mixture-of-Agents for Edge Inference with Large Language Models
Purbesh Mitra, Priyanka Kaswan, Sennur Ulukus
Mixture-of-Agents (MoA) has recently been proposed as a method to enhance performance of large language models (LLMs), enabling multiple individual LLMs to work together for collab…
6G at : The Future of Cislunar Communications
Sahan Liyanaarachchi, Stavros Mitrolaris, Purbesh Mitra +1
What will the future of cislunar communications be? The ever-expanding horizons of the space exploration missions, and the need for establishing sustainable space communication and…
Scale-Robust Timely Asynchronous Decentralized Learning
Purbesh Mitra, Sennur Ulukus
We consider an asynchronous decentralized learning system, which consists of a network of connected devices trying to learn a machine learning model without any centralized paramet…