14 citations · 44 across the 14 of their papers we have counts for
18 papers
Distributed Indirect Source Coding with Decoder Side Information
Jiancheng Tang, Qianqian Yang, Deniz Gündüz
This paper studies a variant of the rate-distortion problem motivated by task-oriented semantic communication and distributed learning problems, where correlated sources are in…
AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation
Qiyuan Wang, Qianqian Yang, Shibo He +2
In an asynchronous federated learning framework, the server updates the global model once it receives an update from a client instead of waiting for all the updates to arrive as in…
Semantic-aware Speech to Text Transmission with Redundancy Removal
Tianxiao Han, Qianqian Yang, Zhiguo Shi +2
Deep learning (DL) based semantic communication methods have been explored for the efficient transmission of images, text, and speech in recent years. In contrast to traditional wi…
Wireless Transmission of Images With The Assistance of Multi-level Semantic Information
Zhenguo Zhang, Qianqian Yang, Shibo He +2
Semantic-oriented communication has been considered as a promising to boost the bandwidth efficiency by only transmitting the semantics of the data. In this paper, we propose a mul…
JMSNAS: Joint Model Split and Neural Architecture Search for Learning over Mobile Edge Networks
Yuqing Tian, Zhaoyang Zhang, Zhaohui Yang +1
The main challenge to deploy deep neural network (DNN) over a mobile edge network is how to split the DNN model so as to match the network architecture as well as all the nodes' co…
FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training Framework for Heterogeneous Edge Devices
Yuhao Chen, Qianqian Yang, Shibo He +2
With the increased penetration and proliferation of Internet of Things (IoT) devices, there is a growing trend towards distributing the power of deep learning (DL) across edge devi…
CNN-based Analog CSI Feedback in FDD MIMO-OFDM Systems
Mahdi Boloursaz Mashhadi, Qianqian Yang, Deniz Gunduz
Massive multiple-input multiple-output (MIMO) systems require downlink channel state information (CSI) at the base station (BS) to better utilize the available spatial diversity an…
Deep Convolutional Compression for Massive MIMO CSI Feedback
Qianqian Yang, Mahdi Boloursaz Mashhadi, Deniz Gündüz
Coded caching provides significant gains over conventional uncoded caching by creating multicasting opportunities among distinct requests. Massive multiple-input multiple-output (M…
Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels
Qianqian Yang, Parisa Hassanzadeh, Deniz Gündüz +1
Content delivery in a multi-user cache-aided broadcast network is studied, where a server holding a database of correlated contents communicates with the users over a Gaussian broa…
Audience-Retention-Rate-Aware Caching and Coded Video Delivery with Asynchronous Demands
Qianqian Yang, Mohammad Mohammadi Amiri, Deniz Gündüz
Most results on coded caching focus on a static scenario, in which a fixed number of users synchronously place their requests from a content library, and the performance is measure…
Centralized Caching and Delivery of Correlated Contents over a Gaussian Broadcast Channel
Qianqian Yang, Parisa Hassanzadeh, Deniz Gündüz +1
Content delivery in a multi-user cache-aided broadcast network is studied, where a server holding a database of correlated contents communicates with the users over a Gaussian broa…
The Multi-layer Information Bottleneck Problem
Qianqian Yang, Pablo Piantanida, Deniz Gündüz
The muti-layer information bottleneck (IB) problem, where information is propagated (or successively refined) from layer to layer, is considered. Based on information forwarded by…
Centralized Coded Caching of Correlated Contents
Qianqian Yang, Deniz Gündüz
Coded caching and delivery is studied taking into account the correlations among the contents in the library. Correlations are modeled as common parts shared by multiple contents;…
Decentralized Caching and Coded Delivery with Distinct Cache Capacities
Mohammad Mohammadi Amiri, Qianqian Yang, Deniz Gunduz
Decentralized proactive caching and coded delivery is studied in a content delivery network, where each user is equipped with a cache memory, not necessarily of equal capacity. Cac…
Decentralized Coded Caching with Distinct Cache Capacities
Mohammad Mohammadi Amiri, Qianqian Yang, Deniz Gündüz
Decentralized coded caching is studied for a content server with files, each of size bits, serving active users, each equipped with a cache of distinct capacity. It is…
Coded Caching and Content Delivery with Heterogeneous Distortion Requirements
Qianqian Yang, Deniz Gündüz
Cache-aided coded content delivery is studied for devices with diverse quality-of-service (QoS) requirements, specified by a different average distortion target. The network consis…
Coded Caching for a Large Number Of Users
Mohammad Mohammadi Amiri, Qianqian Yang, Deniz Gunduz
Information theoretic analysis of a coded caching system is considered, in which a server with a database of N equal-size files, each F bits long, serves K users. Each user is assu…
Centralized Coded Caching for Heterogeneous Lossy Requests
Qianqian Yang, Deniz Gunduz
Centralized coded caching of popular contents is studied for users with heterogeneous distortion requirements, corresponding to diverse processing and display capabilities of mobil…