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7 February 2022

Communication-Oriented Model Fine-Tuning for Packet-Loss Resilient Distributed Inference Under Highly Lossy IoT Networks

The distributed inference (DI) framework has gained traction as a technique for real-time applications empowered by cutting-edge deep machine learning (ML) on […]

17 November 2021

Communication Efficient Decentralized Learning Over Bipartite Graphs

In this paper, we propose a communication-efficiently decentralized machine learning framework that solves a consensus optimization problem defined over a network of […]

25 May 2021

Communication-Efficient Private Information Acquisition

This paper focuses on the way to protect privacy of clients requesting datasets stored in data servers while keeping communication efficiency. To […]

18 February 2021

Communication-Efficient and Distributed Learning over Wireless Networks

Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication systems and beyond. By imbuing intelligence into the network edge, […]

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