{"total":16,"rows":[{"id":"2503.06027","title":"Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models","created":"2025-03-08","cited_by_count":46,"area":null},{"id":"2209.10117","title":"A Comprehensive Survey on Trustworthy Recommender Systems","created":"2022-09-21","cited_by_count":32,"area":null},{"id":"2307.15967","title":"Graph Condensation for Inductive Node Representation Learning","created":"2023-07-29","cited_by_count":31,"area":null},{"id":"2212.05735","title":"Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction","created":"2022-12-12","cited_by_count":11,"area":null},{"id":"2403.02619","title":"Training Machine Learning models at the Edge: A Survey","created":"2024-03-05","cited_by_count":11,"area":null},{"id":"2301.10904","title":"GPU-based Private Information Retrieval for On-Device Machine Learning Inference","created":"2023-01-26","cited_by_count":5,"area":null},{"id":"2406.17335","title":"A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems","created":"2024-06-25","cited_by_count":4,"area":null},{"id":"2501.03228","title":"LightGNN: Simple Graph Neural Network for Recommendation","created":"2025-01-06","cited_by_count":4,"area":null},{"id":"2406.08804","title":"DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation","created":"2024-06-13","cited_by_count":3,"area":null},{"id":"2501.02837","title":"Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation","created":"2025-01-06","cited_by_count":3,"area":null},{"id":"2411.13052","title":"On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective","created":"2024-11-20","cited_by_count":2,"area":null},{"id":"2405.18146","title":"Unified Low-rank Compression Framework for Click-through Rate Prediction","created":"2024-05-28","cited_by_count":0,"area":null},{"id":"2501.11870","title":"Coarse-to-Fine Lightweight Meta-Embedding for ID-Based Recommendation","created":"2025-01-21","cited_by_count":0,"area":null},{"id":"2601.09306","title":"On-Device Large Language Models for Sequential Recommendation","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2601.10067","title":"Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2604.18351","title":"Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems","created":"2026-04-20","cited_by_count":0,"area":null}],"next_cursor":null}