v1v2v3 (latest)

Quantizing data for distributed learning

IEEE Journal on Selected Areas in Information Theory (JSAIT), 2020

14 December 2020

Suhas Diggavi

Papers citing "Quantizing data for distributed learning"

8 / 8 papers shown

Machine Learning and CPU (Central Processing Unit) Scheduling Co-Optimization over a Network of Computing CentersEngineering applications of artificial intelligence (EAAI), 2025

Mohammadreza Doostmohammadian

Zulfiya R. Gabidullina

Hamid R. Rabiee

128

29 Oct 2025

A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error RateApplied and Computational Harmonic Analysis (ACHA), 2023

Junren Chen

Michael Kwok-Po Ng

279

30 Aug 2023

Learning to Transmit with Provable Guarantees in Wireless Federated LearningIEEE Transactions on Wireless Communications (IEEE TWC), 2023

307

18 Apr 2023

Quantized Low-Rank Multivariate Regression with Random DitheringIEEE Transactions on Signal Processing (IEEE TSP), 2023

Junren Chen

Yueqi Wang

Michael Kwok-Po Ng

394

22 Feb 2023

Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform RecoveryIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022

Junren Chen

Michael Kwok-Po Ng

Haiyan Zhao

345

30 Dec 2022

Learning in Distributed Contextual Linear Bandits Without Sharing the Context

210

08 Jun 2022

Social Opinion Formation and Decision Making Under Communication TrendsIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022

Mert Kayaalp

Virginia Bordignon

Ali H. Sayed

435

04 Mar 2022

Power Allocation for Wireless Federated Learning using Graph Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021

300

15 Nov 2021