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01/23/2023
M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion
In federated learning (FL), the communication constraint between the rem...
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11/12/2022
Empirical Risk Minimization with Generalized Relative Entropy Regularization
The empirical risk minimization (ERM) problem with relative entropy regu...
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05/17/2022
Sharp asymptotics on the compression of two-layer neural networks
In this paper, we study the compression of a target two-layer neural net...
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04/18/2022
How to Attain Communication-Efficient DNN Training? Convert, Compress, Correct
In this paper, we introduce 𝖢𝖮_3, an algorithm for communication-efficie...
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03/22/2022
A Perspective on Neural Capacity Estimation: Viability and Reliability
Recently, several methods have been proposed for estimating the mutual i...
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03/17/2022
Convert, compress, correct: Three steps toward communication-efficient DNN training
In this paper, we introduce a novel algorithm, 𝖢𝖮_3, for communication-e...
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03/01/2022
Coded Demixing for Unsourced Random Access
Unsourced random access (URA) is a recently proposed multiple access par...
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02/21/2022
Two-snapshot DOA Estimation via Hankel-structured Matrix Completion
In this paper, we study the problem of estimating the direction of arriv...
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02/09/2022
Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis
The optimality and sensitivity of the empirical risk minimization proble...
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02/06/2022
Lossy Gradient Compression: How Much Accuracy Can One Bit Buy?
In federated learning (FL), a global model is trained at a Parameter Ser...
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11/15/2021
DNN gradient lossless compression: Can GenNorm be the answer?
In this paper, the problem of optimal gradient lossless compression in D...
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11/14/2021
Neural Capacity Estimators: How Reliable Are They?
Recently, several methods have been proposed for estimating the mutual i...
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10/18/2021
Speeding-Up Back-Propagation in DNN: Approximate Outer Product with Memory
In this paper, an algorithm for approximate evaluation of back-propagati...
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06/01/2021
Wireless Federated Learning with Limited Communication and Differential Privacy
This paper investigates the role of dimensionality reduction in efficien...
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04/12/2021
Stochastic Binning and Coded Demixing for Unsourced Random Access
Unsourced random access is a novel communication paradigm designed for h...
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03/07/2021
Hierarchical Causal Bandit
Causal bandit is a nascent learning model where an agent sequentially ex...
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03/04/2021
Straggler Mitigation through Unequal Error Protection for Distributed Approximate Matrix Multiplication
Large-scale machine learning and data mining methods routinely distribut...
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02/15/2021
Multi-Class Unsourced Random Access via Coded Demixing
Unsourced random access (URA) is a recently proposed communication parad...
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11/22/2020
An Exploration of the Heterogeneous Unsourced MAC
The unsourced MAC model was originally introduced to study the communica...
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11/15/2020
An efficient label-free analyte detection algorithm for time-resolved spectroscopy
Time-resolved spectral techniques play an important analysis tool in man...
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11/09/2020
Fairness-Oriented User Association in HetNets Using Bargaining Game Theory
In this paper, the user association and resource allocation problem is i...
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11/05/2020
Straggler Mitigation through Unequal Error Protection for Distributed Matrix Multiplication
Large-scale machine learning and data mining methods routinely distribut...
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11/02/2020
On Sum Secure Degrees of Freedom for K-User MISO Broadcast Channel With Alternating CSIT
In this paper, the sum secure degrees of freedom (SDoF) of the K-user Mu...
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05/15/2020
Efficient Federated Learning over Multiple Access Channel with Differential Privacy Constraints
In this paper, the problem of federated learning (FL) over a multiple ac...
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05/14/2020
The Information Mutual Information Ratio for Counting Image Features and Their Matches
Feature extraction and description is an important topic of computer vis...
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03/06/2020
Decentralized SGD with Over-the-Air Computation
We study the performance of decentralized stochastic gradient descent (D...
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01/21/2020
On the Capacity of the Oversampled Wiener Phase Noise Channel
In this paper, the capacity of the oversampled Wiener phase noise (OWPN)...
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01/12/2020
On the Compressibility of Affinely Singular Random Vectors
There are several ways to measure the compressibility of a random measur...
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05/14/2019
Comparison-limited Vector Quantization
A variation of the classic vector quantization problem is considered, in...
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05/01/2019
LDPC Coded Multiuser Shaping for the Gaussian Multiple Access Channel
The joint design of input constellation and low-density parity-check (LD...
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10/29/2018
Distributed Convex Optimization With Limited Communications
In this paper, a distributed convex optimization algorithm, termed distr...
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06/05/2018
