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03/07/2023
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
In this paper, we focus on a novel optimization problem in which the obj...
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02/06/2023
z-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning
Federated Learning (FL) is a promising privacy-preserving distributed le...
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01/08/2023
Why Batch Normalization Damage Federated Learning on Non-IID Data?
As a promising distributed learning paradigm, federated learning (FL) in...
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12/03/2022
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework
As a novel distributed learning paradigm, federated learning (FL) faces ...
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10/28/2022
Low-Complexity Channel Estimation for Massive MIMO Systems with Decentralized Baseband Processing
The traditional centralized baseband processing architecture is faced wi...
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06/28/2022
CSI Sensing from Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach
This paper investigates the downlink channel state information (CSI) sen...
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05/28/2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling
Sparse modeling for signal processing and machine learning has been at t...
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04/26/2022
Federated Stochastic Primal-dual Learning with Differential Privacy
Federated learning (FL) is a new paradigm that enables many clients to j...
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04/01/2022
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
The impression section of a radiology report summarizes the most promine...
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12/18/2021
Word Graph Guided Summarization for Radiology Findings
Radiology reports play a critical role in communicating medical findings...
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10/29/2021
Federated Semi-Supervised Learning with Class Distribution Mismatch
Many existing federated learning (FL) algorithms are designed for superv...
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10/15/2021
Low-rank Matrix Recovery With Unknown Correspondence
We study a matrix recovery problem with unknown correspondence: given th...
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06/17/2021
Quantized Federated Learning under Transmission Delay and Outage Constraints
Federated learning (FL) has been recognized as a viable distributed lear...
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05/12/2021
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization
XGBoost is one of the most widely used machine learning models in the in...
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05/03/2021
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective
There has been a growing interest in developing data-driven, and in part...
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04/27/2021
Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis
Non-negative matrix factorization (NMF) is a powerful tool for dimension...
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11/16/2020
Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment
There has been a growing interest in developing data-driven and in parti...
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11/10/2020
Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems
While many distributed optimization algorithms have been proposed for so...
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11/08/2020
Learning to Beamform in Heterogeneous Massive MIMO Networks
It is well-known that the problem of finding the optimal beamformers in ...
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10/30/2020
Generating Radiology Reports via Memory-driven Transformer
Medical imaging is frequently used in clinical practice and trials for d...
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02/12/2020
Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing
Recently, federated learning (FL) has drawn significant attention due to...
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02/11/2020
Learning Structured Communication for Multi-agent Reinforcement Learning
This work explores the large-scale multi-agent communication mechanism u...
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01/14/2020
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond
Distributed learning has become a critical enabler of the massively conn...
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06/03/2019
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization
The non-negative matrix factorization (NMF) model with an additional ort...
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04/17/2019
UAV Positioning and Power Control for Two-Way Wireless Relaying
This paper considers an unmanned-aerial-vehicle-enabled (UAV-enabled) wi...
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06/24/2018
On Energy-Efficient NOMA Designs for Heterogeneous Low-Latency Downlink Transmissions
This paper investigates energy-efficient resource allocation for the two...
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03/20/2018
Max-Min Fairness User Scheduling and Power Allocation in Full-Duplex OFDMA Systems
In a full-duplex (FD) multi-user network, the system performance is not ...
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01/09/2018
Aviation Time Minimization of UAV for Data Collection over Wireless Sensor Networks
In this paper, we consider a scenario where an unmanned aerial vehicle (...
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12/13/2017
Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization
Many contemporary signal processing, machine learning and wireless commu...
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12/13/2017
