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Transformer-Based Federated Learning Models for Recommendation Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11192-015-1595-5openalex-snapshot
A scientometric review of emerging trends and new developments in recommendation systems
inferredcites →https://doi.org/10.1007/s12652-022-03709-zopenalex-snapshot
Personalized federated recommendation system with historical parameter clustering
inferredcites →https://doi.org/10.1016/j.cie.2020.106854openalex-snapshot
A review of applications in federated learning
inferredcites →https://doi.org/10.1016/j.eswa.2019.112858openalex-snapshot
A personal data store approach for recommender systems: enhancing privacy without sacrificing accuracy
inferredcites →https://doi.org/10.1016/j.eswa.2021.116209openalex-snapshot
Semantic and explainable research-related recommendation system based on semi-supervised methodology using BERT and LDA models
inferredcites →https://doi.org/10.1016/j.future.2023.06.028openalex-snapshot
Edge-enabled federated sequential recommendation with knowledge-aware Transformer
inferredcites →https://doi.org/10.1016/j.future.2024.06.023openalex-snapshot
Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions
inferredcites →https://doi.org/10.1016/j.ins.2022.07.079openalex-snapshot
Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics
inferredcites →https://doi.org/10.1088/1742-6596/1963/1/012173openalex-snapshot
Survey of BERT (Bidirectional Encoder Representation Transformer) types
inferredcites →https://doi.org/10.1109/tnnls.2023.3269062openalex-snapshot
FedTP: Federated Learning by Transformer Personalization
inferredcites →https://doi.org/10.1145/2507157.2507163openalex-snapshot
Hidden factors and hidden topics
inferredcites →https://doi.org/10.1145/3286490.3286559openalex-snapshot
A Performance Evaluation of Federated Learning Algorithms
inferredcites →https://doi.org/10.1145/3326937.3341261openalex-snapshot
Behavior sequence transformer for e-commerce recommendation in Alibaba
inferredcites →https://doi.org/10.1145/3394486.3403176openalex-snapshot
FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems
inferredcites →https://doi.org/10.1145/3563359.3596670openalex-snapshot
Eyeing the Visitor’s Gaze for Artwork Recommendation
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1901.09888openalex-snapshot
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
inferredcites →https://doi.org/10.48550/arxiv.2209.01860openalex-snapshot
A Brief History of Recommender Systems
inferredcites →https://doi.org/10.48550/arxiv.2306.12680openalex-snapshot
Recent Developments in Recommender Systems: A Survey
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.5129722openalex-extracted
Enhancing Recommendation Systems with Federated Learning for Privacy-Preserving E-Commerce Platforms
inferred← citeshttps://doi.org/10.1007/s10462-026-11535-4openalex-snapshot
Privacy-preserving in foundation models: a systematic review of techniques, threats, and trade-offs
inferred← citeshttps://doi.org/10.1007/s41965-026-00223-5openalex-snapshot
Federated learning particle swarm optimization algorithm for global optimization
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104541openalex-snapshot
Optimized intrusion predictions through feature selection methods
inferred← citeshttps://doi.org/10.1016/j.procs.2026.09.060openalex-snapshot
Cross-device personalized recommendation system optimization based on federated learning and differential privacy
inferred← citeshttps://doi.org/10.1038/s41598-025-26085-yopenalex-snapshot
Adaptive course recommendation using federated learning and graph convolutional networks in IoT-enhanced e-learning
inferred← citeshttps://doi.org/10.1109/access.2025.3570610openalex-snapshot
SMART-FL: Single-Shot Merged Adaptive Resource-Aware Tensor-Fusion for Efficient Federated Learning in Heterogeneous Cross-Silo Environments
inferred← citeshttps://doi.org/10.1109/access.2025.3574073openalex-snapshot
Leveraging RAG With Transformer for Context-Based Personalized Recommendations
inferred← citeshttps://doi.org/10.1109/access.2025.3629370openalex-snapshot
Fed-urlBERT: Client-Split Federated BERT for Malicious URL Detection
inferred← citeshttps://doi.org/10.1109/gcwcn66157.2025.11448449openalex-snapshot
Federated LLMs for Personalized CRM Automation: Privacy-Preserving Customer Insights Across Multi-Cloud Platforms
inferred← citeshttps://doi.org/10.1109/i-smac65734.2025.11597848openalex-snapshot
Advanced Cyber Attack Analysis with DNS: A Machine Learning Approach for Threat Detection and Classification
inferred← citeshttps://doi.org/10.1109/ic2nc67409.2025.11376099openalex-snapshot
Semantic-Graph-Driven AI for Predicting Reader Engagement in English Texts Across Multiple Digital Platforms
inferred← citeshttps://doi.org/10.1109/icacrs67045.2025.11324152openalex-snapshot
A Comprehensive Survey on Federated Learning-Enabled Chatbots: Privacy Concerns, Strategies, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1109/icc52391.2025.11161879openalex-snapshot
Train Without Strain: Adaptive Pruning and Hypernetwork Personalization for Federated Transformers
inferred← citeshttps://doi.org/10.1109/icdcece65353.2025.11034907openalex-snapshot
Privacy Preserving in Federated Learning with Transformer Models
inferred← citeshttps://doi.org/10.1109/icerect65215.2025.11377095openalex-snapshot
Movie Recommendation System using Machine Learning Algorithm
inferred← citeshttps://doi.org/10.1109/icoact63339.2025.11005220openalex-snapshot
Real-Time Product Recommendations for Smart Shopping Using Lattice Structure
inferred← citeshttps://doi.org/10.1109/icses63760.2024.10910646openalex-snapshot
Enhancing E-Commerce Product Recommendations Using LLMs and Transformer-Based Deep Learning Architectures
inferred← citeshttps://doi.org/10.1109/tmlcn.2025.3637083openalex-snapshot
Personalized Federated Learning With Adaptive Transformer Pruning and Hypernetwork-Driven Personalization in Wireless Networks
inferred← citeshttps://doi.org/10.18267/j.aip.280openalex-snapshot
ResNetMF: Improving Recommendation Accuracy and Speed with Matrix Factorization Enhanced by Residual Networks
inferred← citeshttps://doi.org/10.3390/fi17110492openalex-snapshot
Federated Decision Transformers for Scalable Reinforcement Learning in Smart City IoT Systems
inferred← citeshttps://doi.org/10.4018/979-8-3373-1827-1.ch002openalex-snapshot
Implementing Adaptive Learning Systems
inferred← citeshttps://doi.org/10.5753/reviews.2026.6627openalex-snapshot
Current Research and Open Gaps in Federated Large Language Models: A Systematic Review
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