


default search action
Naifu Zhang
- > Home > Persons > Naifu Zhang
Publications
- 2023
[j8]Naifu Zhang
, Meixia Tao
, Jia Wang
, Shuo Shao
:
Coded Over-the-Air Computation for Model Aggregation in Federated Learning. IEEE Commun. Lett. 27(1): 160-164 (2023)
[j7]Dong Wang
, Naifu Zhang
, Meixia Tao
, Xu Chen
:
Knowledge Selection and Local Updating Optimization for Federated Knowledge Distillation With Heterogeneous Models. IEEE J. Sel. Top. Signal Process. 17(1): 82-97 (2023)
[j6]Naifu Zhang
, Meixia Tao
, Jia Wang
, Fan Xu
:
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach. IEEE Trans. Commun. 71(1): 173-186 (2023)- 2022
[j4]Naifu Zhang
, Meixia Tao
:
A Low-Complexity and Adaptive Distributed Source Coding Design for Model Aggregation in Distributed Learning. IEEE Open J. Commun. Soc. 3: 2444-2460 (2022)
[c9]Jialing Chang, Naifu Zhang, Meixia Tao, Hu Tuo:
Federated Multi-Agent Reinforcement Learning for Collaborative Edge Caching in Content Delivery Networks. WCSP 2022: 166-170
[i6]Naifu Zhang, Meixia Tao, Jia Wang, Fan Xu:
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach. CoRR abs/2206.13984 (2022)- 2021
[j2]Naifu Zhang
, Meixia Tao
:
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning. IEEE Trans. Wirel. Commun. 20(8): 5115-5128 (2021)
[c8]Naifu Zhang, Meixia Tao, Jia Wang:
Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning. ISIT 2021: 2161-2166
[c5]Dong Wang, Naifu Zhang, Meixia Tao:
Adaptive Clustering-Based Model Aggregation for Federated Learning with Imbalanced Data. SPAWC 2021: 591-595
[c4]Naifu Zhang, Meixia Tao:
An Adaptive Distributed Source Coding Design for Distributed Learning. WCSP 2021: 1-5
[i5]Naifu Zhang, Meixia Tao, Jia Wang:
Rate Region for Indirect Multiterminal Source Coding in Federated Learning. CoRR abs/2101.08696 (2021)- 2020
[c3]Naifu Zhang, Meixia Tao:
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels. ICC Workshops 2020: 1-6
[i4]Naifu Zhang, Meixia Tao:
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels. CoRR abs/2003.02089 (2020)- 2018
[j1]Naifu Zhang, Meixia Tao
:
Fitness-Aware Coded Multicasting for Decentralized Caching With Finite File Packetization. IEEE Wirel. Commun. Lett. 7(5): 740-743 (2018)
[c2]Shengqi Hao, Naifu Zhang, Meixia Tao:
A Belief Propagation Approach for Caching Strategy Design in D2D Networks. ICC Workshops 2018: 1-6
[c1]Naifu Zhang, Kaibin Zheng, Meixia Tao:
Using Grouped Linear Prediction and Accelerated Reinforcement Learning for Online Content Caching. ICC Workshops 2018: 1-6
[i1]Naifu Zhang, Kaibin Zheng, Meixia Tao:
Using Grouped Linear Prediction and Accelerated Reinforcement Learning for Online Content Caching. CoRR abs/1803.04675 (2018)

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from
,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from
and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-08-06 23:58 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID





