{"list":"other","total":85,"rows":[{"id":"1602.05629","title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","created":"2016-02-17","cited_by_count":7669},{"id":"1912.04977","title":"Advances and Open Problems in Federated Learning","created":"2019-12-10","cited_by_count":3046},{"id":"1510.00149","title":"Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding","created":"2015-10-01","cited_by_count":2329},{"id":"2002.10957","title":"MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers","created":"2020-02-25","cited_by_count":1463},{"id":"1709.04875","title":"Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting","created":"2017-09-14","cited_by_count":1136},{"id":"1704.04110","title":"DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks","created":"2017-04-13","cited_by_count":1013},{"id":"2403.07815","title":"Chronos: Learning the Language of Time Series","created":"2024-03-12","cited_by_count":759},{"id":"2310.10688","title":"A decoder-only foundation model for time-series forecasting","created":"2023-10-14","cited_by_count":692},{"id":"1911.10635","title":"Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms","created":"2019-11-24","cited_by_count":567},{"id":"1909.11875","title":"Federated Learning in Mobile Edge Networks: A Comprehensive Survey","created":"2019-09-26","cited_by_count":408},{"id":"1804.08333","title":"Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge","created":"2018-04-23","cited_by_count":352},{"id":"2006.10685","title":"Deep Learning Enabled Semantic Communication Systems","created":"2020-06-18","cited_by_count":292},{"id":"2104.07914","title":"Federated Learning for Internet of Things: A Comprehensive Survey","created":"2021-04-16","cited_by_count":252},{"id":"1811.11479","title":"Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data","created":"2018-11-28","cited_by_count":243},{"id":"1905.10083","title":"Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing","created":"2019-05-24","cited_by_count":228},{"id":"1902.10265","title":"A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems","created":"2019-02-26","cited_by_count":160},{"id":"1809.00343","title":"Towards an Intelligent Edge: Wireless Communication Meets Machine Learning","created":"2018-09-02","cited_by_count":95},{"id":"1812.02858","title":"Wireless Network Intelligence at the Edge","created":"2018-12-07","cited_by_count":92},{"id":"2201.01389","title":"Semantic Communications: Principles and Challenges","created":"2021-12-30","cited_by_count":91},{"id":"1912.13163","title":"Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks","created":"2019-12-27","cited_by_count":79},{"id":"2302.14536","title":"On the Road to 6G: Visions, Requirements, Key Technologies and Testbeds","created":"2023-02-28","cited_by_count":77},{"id":"1702.05309","title":"Mobile Edge Computing: A Survey on Architecture and Computation Offloading","created":"2017-02-17","cited_by_count":53},{"id":"2111.07494","title":"Federated Learning for Internet of Things: Applications, Challenges, and Opportunities","created":"2021-11-15","cited_by_count":50},{"id":"2202.02559","title":"Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities","created":"2022-02-05","cited_by_count":40},{"id":"2108.04973","title":"6G Internet of Things: A Comprehensive Survey","created":"2021-08-11","cited_by_count":39},{"id":"2102.12169","title":"Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions","created":"2021-02-24","cited_by_count":38},{"id":"1906.09490","title":"Wireless Communications Through Reconfigurable Intelligent Surfaces","created":"2019-06-22","cited_by_count":37},{"id":"2105.08576","title":"AI-Native Network Slicing for 6G Networks","created":"2021-05-18","cited_by_count":31},{"id":"2402.01748","title":"Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems","created":"2024-01-30","cited_by_count":27},{"id":"1805.06146","title":"Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning","created":"2018-05-16","cited_by_count":26},{"id":"2412.14538","title":"Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities","created":"2024-12-19","cited_by_count":26},{"id":"2110.08496","title":"Rethinking Modern Communication from Semantic Coding to Semantic Communication","created":"2021-10-16","cited_by_count":24},{"id":"2209.12274","title":"Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis","created":"2022-09-25","cited_by_count":23},{"id":"2212.02032","title":"6G Digital Twin Networks: From Theory to Practice","created":"2022-12-05","cited_by_count":23},{"id":"2208.13501","title":"When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds","created":"2022-08-29","cited_by_count":19},{"id":"1501.01367","title":"Device Fingerprinting in Wireless Networks: Challenges and Opportunities","created":"2015-01-07","cited_by_count":14},{"id":"2101.01588","title":"AI based Service Management for 6G Green Communications","created":"2021-01-05","cited_by_count":14},{"id":"2108.11861","title":"Security and privacy for 6G: A survey on prospective technologies and challenges","created":"2021-08-26","cited_by_count":12},{"id":"2409.12626","title":"Green Federated Learning: A new era of Green Aware AI","created":"2024-09-19","cited_by_count":12},{"id":"2401.01531","title":"Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing","created":"2024-01-03","cited_by_count":11},{"id":"2008.03252","title":"A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet of Things","created":"2020-08-05","cited_by_count":9},{"id":"2404.14238","title":"Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories","created":"2024-04-22","cited_by_count":9},{"id":"2407.10979","title":"Diffusion Model-based Incentive Mechanism with Prospect Theory for Edge AIGC Services in 6G IoT","created":"2024-06-10","cited_by_count":9},{"id":"2411.09996","title":"Building 6G Radio Foundation Models with Transformer Architectures","created":"2024-11-15","cited_by_count":9},{"id":"2111.15378","title":"Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO","created":"2021-11-30","cited_by_count":8},{"id":"2210.06649","title":"Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network","created":"2022-10-13","cited_by_count":8},{"id":"2009.12164","title":"A Comprehensive Survey of the Tactile Internet: State of the art and Research Directions","created":"2020-09-22","cited_by_count":7},{"id":"1904.05556","title":"The Role of Big Data Analytics in Industrial Internet of Things","created":"2019-04-11","cited_by_count":6},{"id":"2110.05022","title":"Blockchain for Edge of Things: Applications, Opportunities, and Challenges","created":"2021-10-11","cited_by_count":6},{"id":"2212.06908","title":"Enabling the Wireless Metaverse via Semantic Multiverse Communication","created":"2022-12-13","cited_by_count":6},{"id":"2408.03964","title":"Telecom Foundation Models: Applications, Challenges, and Future Trends","created":"2024-08-02","cited_by_count":6},{"id":"1807.10438","title":"Internet of Things Security and Forensics: Challenges and Opportunities","created":"2018-07-27","cited_by_count":5},{"id":"2107.06835","title":"A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications","created":"2021-07-01","cited_by_count":5},{"id":"2108.05781","title":"Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G","created":"2021-08-12","cited_by_count":5},{"id":"2311.13789","title":"Knowledge Distillation Based Semantic Communications For Multiple Users","created":"2023-11-23","cited_by_count":5},{"id":"2407.11051","title":"Exploring the 6G Potentials: Immersive, Hyper Reliable, and Low-Latency Communication","created":"2024-07-09","cited_by_count":5},{"id":"1406.6470","title":"Wireless Networks with RF Energy Harvesting: A Contemporary Survey","created":"2014-06-25","cited_by_count":4},{"id":"1508.06366","title":"Wireless Powered Communication Networks: An Overview","created":"2015-08-26","cited_by_count":4},{"id":"1905.03949","title":"Sensing, Computing, and Communication for Energy Harvesting IoTs: A Survey","created":"2019-05-10","cited_by_count":4},{"id":"2002.04960","title":"Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces","created":"2020-02-12","cited_by_count":4},{"id":"2305.08604","title":"A Survey of Blockchain and Artificial Intelligence for 6G Wireless Communications","created":"2023-05-15","cited_by_count":4},{"id":"2312.04688","title":"Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights","created":"2023-12-07","cited_by_count":4},{"id":"2404.19492","title":"Reducing Communication Overhead in the IoT-Edge-Cloud Continuum: A Survey on Protocols and Data Reduction Strategies","created":"2024-04-30","cited_by_count":4},{"id":"2004.07130","title":"The Road to 6G: Ten Physical Layer Challenges for Communications Engineers","created":"2020-04-15","cited_by_count":3},{"id":"2301.03374","title":"Internet of Everything (IoE) -- From Molecules to the Universe","created":"2022-11-22","cited_by_count":3},{"id":"2309.02172","title":"Orchestration in the Cloud-to-Things Compute Continuum: Taxonomy, Survey and Future Directions","created":"2023-09-05","cited_by_count":3},{"id":"2501.01828","title":"Age-Based Device Selection and Transmit Power Optimization in Over-the-Air Federated Learning","created":"2025-01-03","cited_by_count":3},{"id":"2501.03392","title":"Over-the-Air Fair Federated Learning via Multi-Objective Optimization","created":"2025-01-06","cited_by_count":3},{"id":"2505.03036","title":"Energy, Scalability, Data and Security in Massive IoT: Current Landscape and Future Directions","created":"2025-05-05","cited_by_count":3},{"id":"2508.20504","title":"Enhancing Resilience for IoE: A Perspective of Networking-Level Safeguard","created":"2025-08-28","cited_by_count":3},{"id":"1805.02982","title":"Price-based Resource Allocation for Edge Computing: A Market Equilibrium Approach","created":"2018-05-08","cited_by_count":2},{"id":"1812.00591","title":"Internet of Things (IoT) and New Computing Paradigms","created":"2018-12-03","cited_by_count":2},{"id":"2401.11968","title":"Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-based Federated Learning","created":"2024-01-22","cited_by_count":2},{"id":"2401.14968","title":"Atmosphere: Context and situational-aware collaborative IoT architecture for edge-fog-cloud computing","created":"2024-01-26","cited_by_count":2},{"id":"2403.05686","title":"Enabling 5G QoS configuration capabilities for IoT applications on container orchestration platform","created":"2024-03-08","cited_by_count":2},{"id":"2503.13528","title":"Internet of Things-Based Smart Precision Farming in Soilless Agriculture: Opportunities and Challenges for Global Food Security","created":"2025-03-15","cited_by_count":2},{"id":"1802.05113","title":"Multi-Criteria Virtual Machine Placement in Cloud Computing Environments: A literature Review","created":"2018-02-05","cited_by_count":1},{"id":"1909.06496","title":"PUFchain: Hardware-Assisted Blockchain for Sustainable Simultaneous Device and Data Security in the Internet of Everything (IoE)","created":"2019-09-14","cited_by_count":1},{"id":"2004.11496","title":"Introducing Virtual Security Functions into Latency-aware Placement for NFV Applications","created":"2020-04-24","cited_by_count":1},{"id":"2304.00172","title":"Performance Analysis and Low-Complexity Design for XL-MIMO with Near-Field Spatial Non-Stationarities","created":"2023-03-31","cited_by_count":1},{"id":"2403.10412","title":"RIS-Assisted Physical Layer Security in Emerging RF and Optical Wireless Communication Systems: A Comprehensive Survey","created":"2024-03-15","cited_by_count":1},{"id":"2403.11911","title":"Bacterial Communications and Computing in Internet of Everything (IoE)","created":"2024-03-18","cited_by_count":1},{"id":"2409.11200","title":"LoRa Communication for Agriculture 4.0: Opportunities, Challenges, and Future Directions","created":"2024-09-17","cited_by_count":1},{"id":"2409.17843","title":"Auction-based Adaptive Resource Allocation Optimization in Dense and Heterogeneous IoT Networks","created":"2024-09-26","cited_by_count":1},{"id":"2502.08426","title":"Semantic Learning for Molecular Communication in Internet of Bio-Nano Things","created":"2025-02-12","cited_by_count":1}],"next_cursor":null}