Key papers

• Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies (2025)
  Yuanming Shi et al.
  6.41
• AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks (2024)
  Zheng Lin et al.
  5.80
• Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources (2025)
  Roopkatha Banerjee et al.
  4.98
• Think Short, Defer Smart, Act, and Repeat: Calibrated Reasoning and Uncertainty-Aware Deferral for Edge LLM Agents (2026)
  Amirmohammad Farzaneh et al.
  4.95
• Defending Against Backdoor Attacks via Alignment Checking in Model-Contrastive Federated Learning (2026)
  Hongliang Zhang et al.
  4.95
• Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification (2026)
  Aizierjiang Aiersilan
  4.33
• Privacy-Preserving and Verifiable Approximate Distributed Coded Computing (2026)
  Xavier Mart\'inez-Lua\~na et al.
  4.33
• Assessment in Team Problem-Solving Exercises in Computing Education (2026)
  Valdemar \v{S}v\'abensk\'y et al.
  4.33
• Integrity of peer-to-peer distributed LLM inference under malicious nodes (2026)
  Mert Cihangiroglu et al.
  4.33
• Chained Attacks on Drone-Based Federated Learning: From Network Disruption to Device Impersonation (2026)
  Suleiman Muhammad Sabo et al.
  4.33
• Explainability and Continual Learning meet Federated Learning at the Network Edge (2025)
  Thomas Tsouparopoulos and Iordanis Koutsopoulos
  4.30
• QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning (2026)
  Nazmus Shakib Shadin et al.
  4.27
• Semi-asynchronous Federated Learning in Flower: Framework Extension and Performance Assessment (2026)
  V\'ictor Hidalgo-Izquierdo et al.
  4.27
• Network Anomaly Detection in Distributed Edge Computing Infrastructure (2025)
  William Marfo et al.
  4.25
• Building a privacy-preserving Federated Recommender system for mobile devices (2026)
  Aasheesh Singh
  4.22
• Semantic-aware Token Selection and Resource Optimization for Communication-efficient Split Federated Fine-tuning in Edge Intelligence (2026)
  Xianke Qiang et al.
  4.22
• Totoro$^+$: An Adaptive and Scalable Edge Federated Learning System (2026)
  Cheng-Wei Ching et al.
  4.22
• Autonomic Federated-Market Orchestration for the Edge-Cloud Continuum (2026)
  Lauri Lov\'en et al.
  4.22
• Hierarchical Split Federated Learning: Convergence Analysis and System Optimization (2024)
  Zheng Lin et al.
  4.19
• Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment (2025)
  Xubin Wang et al.
  4.14
• Personalized Federated Learning for Cellular VR: Online Learning and Dynamic Caching (2025)
  Krishnendu S. Tharakan et al.
  4.14
• Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing (2025)
  Minghong Fang et al.
  4.14
• FedICT: Federated Multi-task Distillation for Multi-access Edge Computing (2023)
  Zhiyuan Wu et al.
  4.13
• Mist-Assisted Federated Learning for Intrusion Detection in Heterogeneous IoT Networks (2025)
  Saadat Izadi et al.
  4.03
• On the Optimization of Model Aggregation for Federated Learning at the Network Edge (2025)
  Mengyao Li et al.
  4.03
• Federated Edge Learning for Predictive Maintenance in 6G Small Cell Networks (2025)
  Yusuf Emir Sezgin et al.
  3.92
• Hybrid Reputation Aggregation: A Robust Defense Mechanism for Adversarial Federated Learning in 5G and Edge Network Environments (2025)
  Saeid Sheikhi et al.
  3.92
• Floe: Federated Specialization for Real-Time LLM-SLM Inference (2026)
  Chunlin Tian et al.
  3.92
• Proof of Reasoning for Privacy Enhanced Federated Blockchain Learning at the Edge (2026)
  James Calo and Benny Lo
  3.87
• Distributed Learning and Inference Systems: A Networking Perspective (2025)
  Hesham G. Moussa et al.
  3.47
• Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks (2026)
  Akash Sharma et al.
  3.23
• Formal Verification of a Generic Algorithm for TDM Communication Over Inter Satellite Links (2025)
  Miroslav Popovic et al.
  3.10
• Trustless Federated Learning at Edge-Scale: A Compositional Architecture for Decentralized, Verifiable, and Incentive-Aligned Coordination (2025)
  Pius Onobhayedo et al.
  3.10
• Edge Artificial Intelligence: A Systematic Review of Evolution, Taxonomic Frameworks, and Future Horizons (2025)
  Mohamad Abou Ali et al.
  3.04
• Secure Multi-Modal Data Fusion in Federated Digital Health Systems via MCP (2025)
  Aueaphum Aueawatthanaphisut
  3.04
• PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints (2025)
  Yuanchun Guo and Bingyan Liu and Yulong Sha and Zhensheng Xian
  2.99
• SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning (2025)
  Dung T. Tran et al.
  2.93
• FetFIDS: A Feature Embedding Attention based Federated Network Intrusion Detection Algorithm (2025)
  Shreya Ghosh et al.
  2.93
• FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture (2025)
  Somayeh Sobati-M
  2.87
• Optimising Intrusion Detection Systems in Cloud-Edge Continuum with Knowledge Distillation for Privacy-Preserving and Efficient Communication (2025)
  Soad Almabdy et al.
  2.71
• Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks (2025)
  Milad Rahmati
  2.71
• Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing (2024)
  Fardin Jalil Piran et al.
  2.54
• A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing (2024)
  Anwesha Mukherjee et al.
  2.43
• Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing (2024)
  Cui Zhang et al.
  2.32
• Robust Decentralized Learning with Local Updates and Gradient Tracking (2024)
  Sajjad Ghiasvand et al.
  2.21
• Privacy-aware Berrut Approximated Coded Computing for Federated Learning (2024)
  Xavier Mart\'inez Lua\~na et al.
  2.21
• Scaling Synthetic-Image Pre-Training for Federated Fine-Tuning of Large Vision Models (2026)
  Qianpiao Ma et al.
  1.94
• Hollow-LLM Attack: Computationally Trivial Weights in Zero-Knowledge Verification of LLM Inference (2026)
  Chen Gong et al.
  1.94
• FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment (2026)
  Nazmus Shakib Shadin et al.
  1.89
• Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries (2026)
  Hina Dixit et al.
  1.89
• Q-FE: A Quantum-Native 6G Far-Edge Architecture Securing Industrial IoT Digital Twins via CSIDH-PQC and Asynchronous Federated Learning (2026)
  Vincenzo Sammartino
  1.89
• TITAN-FedAnil+: Trust-Based Adaptive Blockchain Federated Learning for Resource-Constrained Intelligent Enterprises (2026)
  Muhammad Hadi et al.
  1.89
• Cognitive Threat Intelligence and Explainable Federated Security Analytics for distributed Infrastructure Systems (2026)
  Md. Arifur Rahman et al.
  1.89
• Towards Serverless Semi-Decentralized Federated Learning with Heterogeneous Optimizers (2026)
  Su Wang et al.
  1.89
• Federated Foundation Models over Vehicular Networks (2026)
  Kasra Borazjani et al.
  1.89
• Predictive Autoscaling in Cloud-Native and Federated Cloud-Edge Computing Environments: A Taxonomy and Future Directions (2026)
  Bablu Kumar et al.
  1.89
• HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning (2026)
  Amir Hossein Shahdadian et al.
  1.89
• AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation (2026)
  Bilal Hussain et al.
  1.89
• AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments (2026)
  Yan Wang et al.
  1.89
• Privacy-Preserving Federated Autoencoder for ECG Anomaly Detection on Edge Devices (2026)
  Kaan Arda Akyol et al.
  1.89