*Sun, J.[Jun]*,
*Chen, T.Y.[Tian-Yi]*,
*Giannakis, G.B.[Georgios B.]*,
*Yang, Q.M.[Qin-Min]*,
*Yang, Z.Y.[Zai-Yue]*,

**Lazily Aggregated Quantized Gradient Innovation for
Communication-Efficient Federated Learning**,

*PAMI(44)*, No. 4, April 2022, pp. 2031-2044.

IEEE DOI
**2203**

Quantization (signal), Servers, Technological innovation,
Convergence, Frequency modulation, Distributed databases,
quantization
BibRef

*Abdel-Basset, M.[Mohamed]*,
*Moustafa, N.[Nour]*,
*Hawash, H.[Hossam]*,
*Razzak, I.[Imran]*,
*Sallam, K.M.[Karam M.]*,
*Elkomy, O.M.[Osama M.]*,

**Federated Intrusion Detection in Blockchain-Based Smart
Transportation Systems**,

*ITS(23)*, No. 3, March 2022, pp. 2523-2537.

IEEE DOI
**2203**

Security, Blockchains, Intrusion detection, Training, Servers,
Feature extraction, Deep learning, Federated learning,
blockchain
BibRef

*Ng, J.S.*,
*Lim, W.Y.B.*,
*Dai, H.N.*,
*Xiong, Z.*,
*Huang, J.*,
*Niyato, D.*,
*Hua, X.S.*,
*Leung, C.*,
*Miao, C.*,

**Joint Auction-Coalition Formation Framework for
Communication-Efficient Federated Learning in UAV-Enabled Internet of
Vehicles**,

*ITS(22)*, No. 4, April 2021, pp. 2326-2344.

IEEE DOI
**2104**

Training, Computational modeling, Servers, Data models,
Unmanned aerial vehicles, Collaborative work, Predictive models,
Internet of vehicles
BibRef

*Yu, Z.X.[Zheng-Xin]*,
*Hu, J.[Jia]*,
*Min, G.[Geyong]*,
*Zhao, Z.W.[Zhi-Wei]*,
*Miao, W.[Wang]*,
*Hossain, M.S.[M. Shamim]*,

**Mobility-Aware Proactive Edge Caching for Connected Vehicles Using
Federated Learning**,

*ITS(22)*, No. 8, August 2021, pp. 5341-5351.

IEEE DOI
**2108**

Servers, Peer-to-peer computing, Predictive models, Privacy,
Machine learning, Security, Probabilistic logic, Content caching,
vehicular networks
BibRef

*Lim, W.Y.B.[Wei Yang Bryan]*,
*Huang, J.Q.[Jian-Qiang]*,
*Xiong, Z.[Zehui]*,
*Kang, J.[Jiawen]*,
*Niyato, D.[Dusit]*,
*Hua, X.S.[Xian-Sheng]*,
*Leung, C.[Cyril]*,
*Miao, C.Y.[Chun-Yan]*,

**Towards Federated Learning in UAV-Enabled Internet of Vehicles:
A Multi-Dimensional Contract-Matching Approach**,

*ITS(22)*, No. 8, August 2021, pp. 5140-5154.

IEEE DOI
**2108**

Sensors, Computational modeling, Data models,
Unmanned aerial vehicles, Contracts, Collaborative work, Training, matching
BibRef

*Chai, H.[Haoye]*,
*Leng, S.[Supeng]*,
*Chen, Y.J.[Yi-Jin]*,
*Zhang, K.[Ke]*,

**A Hierarchical Blockchain-Enabled Federated Learning Algorithm for
Knowledge Sharing in Internet of Vehicles**,

*ITS(22)*, No. 7, July 2021, pp. 3975-3986.

IEEE DOI
**2107**

Blockchain, Collaborative work, Security, Training,
Computational modeling, Data models, Servers,
knowledge sharing
BibRef

*Uddin, M.P.[Md Palash]*,
*Xiang, Y.[Yong]*,
*Yearwood, J.[John]*,
*Gao, L.X.[Long-Xiang]*,

**Robust Federated Averaging via Outlier Pruning**,

*SPLetters(29)*, 2022, pp. 409-413.

IEEE DOI
**2202**

Training, Servers, Data models, Arithmetic, Costs, Convergence,
Computational modeling, Distributed deep learning,
outlier pruning
BibRef

*Yan, N.[Na]*,
*Wang, K.Z.[Ke-Zhi]*,
*Pan, C.[Cunhua]*,
*Chai, K.K.[Kok Keong]*,

**Performance Analysis for Channel-Weighted Federated Learning in OMA
Wireless Networks**,

*SPLetters(29)*, 2022, pp. 772-776.

IEEE DOI
**2204**

Radio frequency, Performance evaluation, Training, Convergence,
Distortion, Collaborative work, Wireless sensor networks,
orthogonal multiple access
BibRef

*Ribero, M.[Mónica]*,
*Henderson, J.[Jette]*,
*Williamson, S.[Sinead]*,
*Vikalo, H.[Haris]*,

**Federating recommendations using differentially private prototypes**,

*PR(129)*, 2022, pp. 108746.

Elsevier DOI
**2206**

Recommender systems, Differential Privacy, Federated Learning,
Cross-Silo Federated Learning, Matrix Factorization
BibRef

IEEE DOI

Training, Data privacy, Distributed databases, Machine learning, Benchmark testing, Collaborative work, Data models, Data filtering, open set noise BibRef

*Zhang, L.[Lin]*,
*Luo, Y.[Yong]*,
*Bai, Y.[Yan]*,
*Du, B.[Bo]*,
*Duan, L.Y.[Ling-Yu]*,

**Federated Learning for Non-IID Data via Unified Feature Learning and
Optimization Objective Alignment**,

*ICCV21*(4400-4408)

IEEE DOI
**2203**

Representation learning, Analytical models,
Computational modeling, Aggregates, Collaborative work,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef

*Yao, C.H.[Chun-Han]*,
*Gong, B.Q.[Bo-Qing]*,
*Qi, H.[Hang]*,
*Cui, Y.[Yin]*,
*Zhu, Y.K.[Yu-Kun]*,
*Yang, M.H.[Ming-Hsuan]*,

**Federated Multi-Target Domain Adaptation**,

*WACV22*(1081-1090)

IEEE DOI
**2202**

Performance evaluation, Training, Image segmentation, Costs,
Semantics, Distributed databases, Collaborative work, Transfer,
Semi- and Un- supervised Learning
BibRef

*Li, Q.B.[Qin-Bin]*,
*He, B.S.[Bing-Sheng]*,
*Song, D.[Dawn]*,

**Model-Contrastive Federated Learning**,

*CVPR21*(10708-10717)

IEEE DOI
**2111**

Multiple parties to collaboratively train a machine learning model
without communicating their local data.
Deep learning, Training, Pain, Moon, Object detection,
Collaborative work, Data models
BibRef

*Caldarola, D.[Debora]*,
*Mancini, M.[Massimiliano]*,
*Galasso, F.[Fabio]*,
*Ciccone, M.[Marco]*,
*Rodolà, E.[Emanuele]*,
*Caputo, B.[Barbara]*,

**Cluster-driven Graph Federated Learning over Multiple Domains**,

*LLID21*(2743-2752)

IEEE DOI
**2109**

Training, Knowledge engineering, Computational modeling,
Benchmark testing, Collaborative work, Data models, Iterative algorithms
BibRef

*Hao, W.[Weituo]*,
*El-Khamy, M.[Mostafa]*,
*Lee, J.[Jungwon]*,
*Zhang, J.Y.[Jian-Yi]*,
*Liang, K.J.[Kevin J]*,
*Chen, C.Y.[Chang-You]*,
*Carin, L.[Lawrence]*,

**Towards Fair Federated Learning with Zero-Shot Data Augmentation**,

*TCV21*(3305-3314)

IEEE DOI
**2109**

Computer aided instruction, Distance learning,
Distributed databases, Collaborative work, Data models
BibRef

*Zhu, Z.R.[Zi-Rui]*,
*Sun, L.F.[Li-Feng]*,

**Federated Trace:
A Node Selection Method for More Efficient Federated Learning**,

*ICIP21*(1234-1238)

IEEE DOI
**2201**

Training, Measurement, Data privacy, Image processing,
Time series analysis, Clustering algorithms, Federated Learning,
Communication rounds
BibRef

*Michieli, U.[Umberto]*,
*Ozay, M.[Mete]*,

**Are All Users Treated Fairly in Federated Learning Systems?**,

*RCV21*(2318-2322)

IEEE DOI
**2109**

Training, Analytical models, Fluctuations, Aggregates,
Computational modeling, Training data, Collaborative work
BibRef

*Lim, J.Q.[Jia Qi]*,
*Chan, C.S.[Chee Seng]*,

**From Gradient Leakage To Adversarial Attacks In Federated Learning**,

*ICIP21*(3602-3606)

IEEE DOI
**2201**

Data privacy, Solid modeling, Computational modeling,
Collaborative work, Solids, Data models, Classification algorithms,
Adversarial Learning
BibRef

*Zhu, Z.[Zirui]*,
*Sun, L.F.[Li-Feng]*,

**Initialize with Mask: For More Efficient Federated Learning**,

*MMMod21*(II:111-120).

Springer DOI
**2106**

BibRef

*Yao, X.*,
*Sun, L.*,

**Continual Local Training For Better Initialization Of Federated
Models**,

*ICIP20*(1736-1740)

IEEE DOI
**2011**

Training, Data models, Servers, Task analysis,
Computational modeling, Distributed databases, Optimization,
Generalization
BibRef

*Moon, J.*,
*Kum, S.*,
*Kim, Y.*,
*Stankovski, V.*,
*Pašcinski, U.*,
*Kochovski, P.*,

**A Decentralized AI Data Management System In Federated Learning**,

*ISCV20*(1-4)

IEEE DOI
**2011**

Big Data, data privacy, learning (artificial intelligence),
model training, private locally produced data, Big Data,
Machine learning model
BibRef

*Kathariya, B.[Birendra]*,
*Li, L.[Li]*,
*Li, Z.[Zhu]*,
*Duan, L.Y.[Ling-Yu]*,
*Liu, S.[Shan]*,

**Network Update Compression for Federated Learning**,

*VCIP20*(38-41)

IEEE DOI
**2102**

Servers, Data models, Collaborative work, Uplink, Urban areas,
Training, Matrix decomposition, federated learning,
Karhunen-Loève Transform (KLT)
BibRef

*Yao, X.*,
*Huang, T.*,
*Wu, C.*,
*Zhang, R.*,
*Sun, L.*,

**Towards Faster and Better Federated Learning:
A Feature Fusion Approach**,

*ICIP19*(175-179)

IEEE DOI
**1910**

Federated Learning, Feature Fusion, Communication Cost, Generalization
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in

Fusion for Multiple Classifiers .

Last update:Aug 14, 2022 at 21:20:19