Key papers

• GPU-Parallel Linearization Error Bounds for Real-Time Robust Optimal Control of Nonlinear and Neural Network Dynamics (2026)
  Jeffrey Fang et al.
  5.01
• Chameleon: Recovering Cyber-Physical Systems from Memory Corruption Attacks via ML Surrogates (2026)
  Mohsen Salehi et al.
  5.01
• Urban Deceleration Behavior Modes Under Scene Context: An Early-Kinematic Classifier from Argoverse 2 Multi-Agent Trajectories (2026)
  Eni Solomon Laughter
  4.39
• Solution space path planning for supporting en-route air traffic control (2026)
  Yiyuan Zou et al.
  4.39
• AI, Trust, and Teaming: The Humans-as-Handlers Approach for Autonomous and Opaque AI Systems (2026)
  Nathan G. Wood
  4.39
• Wind-Aware Reinforcement Learning Control of a Small Quadrotor Using Learned Onboard Wind Estimation in Simulated Atmospheric Turbulence (2026)
  Abdullah Al Tasim et al.
  4.39
• Predicting Closed-Loop Performance of Latent World Models: Offline Checkpoint Selection for MPC and Model-Based RL Under Non-Markovian Rewards in LunarLander (2026)
  Nikolai Smolyanskiy
  4.39
• Koopman operator theory: fundamentals, control, and applications (2026)
  Igor Mezi\'c et al.
  4.39
• A Memory Efficient Unified Algorithm for Online Learning of Linear Dynamical Systems (2026)
  Yuval Ran-Milo et al.
  4.39
• MemoGuard: An Adaptive Runtime for Guarding Against Memory Traps in Communication-Limited Robot Navigation (2026)
  Rajat Bhattacharjya et al.
  4.39
• Robust Asynchronous Q-Learning under Reward and State Corruption via Batching (2026)
  Sreejeet Maity et al.
  4.39
• ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning (2026)
  Yilie Huang et al.
  3.51
• Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations (2026)
  Jonathan Gallagher et al.
  2.00
• Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction (2026)
  Aubida A. Al-Hameed et al.
  2.00
• A Graph-Based Control Interface for Traffic Signals on Heterogeneous Road Networks (2026)
  Bertil Braun
  2.00
• When Is a Learned Command Adapter Worth It? Closed-Loop Identification and Counterfactual Auditing of Frozen Locomotion Policies (2026)
  Zongtan Li
  2.00
• Variance-Reduced Q-Learning over Static and Time-Varying Networks (2026)
  Sreejeet Maity et al.
  2.00
• Location-Aware NAS Timer Optimization in NTN-TN Integrated Networks (2026)
  Cheng Liu et al.
  2.00
• Predictive Lightweight MARL for Resilient Coverage in Sparse-Signaling Aerial Networks (2026)
  Chuan-Chi Lai et al.
  2.00
• Trajectory-Regularized Stochastic Optimal Control via KL Divergence (2026)
  Mintae Kim et al.
  2.00
• Towards Serverless Semi-Decentralized Federated Learning with Heterogeneous Optimizers (2026)
  Su Wang et al.
  1.94
• Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks (2026)
  Su Wang et al.
  1.89
• Detecting and Mitigating Backdoor Attacks in OTA-FL Systems: A Two-Stage Robust Aggregation Scheme (2026)
  Xiaoyan Ma et al.
  1.89
• Personalized Federated Learning by Energy-Efficient UAV Communications (2026)
  Shiqian Guo and Jianqing Liu and Beatriz Lorenzo
  1.89
• Scalar Federated Learning for Linear Quadratic Regulator (2026)
  Mohammadreza Rostami et al.
  1.83
• Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey (2026)
  Xiaojing Chen et al.
  1.83
• Threat Modeling and Attack Surface Analysis of IoT-Enabled Controlled Environment Agriculture Systems (2026)
  Andrii Vakhnovskyi
  1.83
• Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation (2026)
  Huaicheng Li et al.
  1.83
• Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization (2026)
  Teetat Pipattaratonchai and Aueaphum Aueawatthanaphisut
  1.83
• SliceFed: Federated Constrained Multi-Agent DRL for Dynamic Spectrum Slicing in 6G (2026)
  Hossein Mohammadi et al.
  1.78
• Secure Two-Party Matrix Multiplication from Lattices and Its Application to Encrypted Control (2026)
  Kaoru Teranishi
  1.78
• Federated Causal Representation Learning in State-Space Systems for Decentralized Counterfactual Reasoning (2026)
  Nazal Mohamed et al.
  1.72
• Can Optimal Transport Improve Federated Inverse Reinforcement Learning? (2026)
  David Millard and Ali Baheri
  1.67
• Distributed Federated Learning by Alternating Periods of Training (2026)
  Shamik Bhattacharyya et al.
  1.67
• Local Updates in Distributed Optimization: Provable Acceleration and Topology Effects (2026)
  Zuang Wang and Yongqiang Wang
  1.67
• LegionITS: A Federated Intrusion-Tolerant System Architecture (2025)
  Tadeu Freitas et al.
  1.61
• FedWiLoc: Federated Learning for Privacy-Preserving WiFi Indoor Localization (2025)
  Kanishka Roy et al.
  1.61
• Privacy-Preserving Federated Learning for Fair and Efficient Urban Traffic Optimization (2025)
  Rathin Chandra Shit and Sharmila Subudhi
  1.56
• Communication-Efficient Learning for Satellite Constellations (2025)
  Ruxandra-Stefania Tudose et al.
  1.56
• Adaptive Federated Learning via Dynamical System Model (2025)
  Aayushya Agarwal et al.
  1.50
• Federated Split Learning for Resource-Constrained Robots in Industrial IoT: Framework Comparison, Optimization Strategies, and Future Directions (2025)
  Wanli Ni et al.
  1.50
• Personalized Collaborative Learning with Affinity-Based Variance Reduction (2025)
  Chenyu Zhang and Navid Azizan
  1.50
• Non-Convex Over-the-Air Heterogeneous Federated Learning: A Bias-Variance Trade-off (2025)
  Muhammad Faraz Ul Abrar and Nicol\`o Michelusi
  1.50
• UTM Performance Under Stressing Scenarios (2025)
  Ian Jessen
  1.44
• A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning (2025)
  Jiaxing Cao et al.
  1.44
• Synergies between Federated Foundation Models and Smart Power Grids (2025)
  Seyyedali Hosseinalipour et al.
  1.44
• CollaPipe: Adaptive Segment-Optimized Pipeline Parallelism for Collaborative LLM Training in Heterogeneous Edge Networks (2025)
  Jiewei Chen et al.
  1.44
• Revenue Optimization in Wireless Video Caching Networks: A Privacy-Preserving Two-Stage Solution (2025)
  Yijing Zhang and Md-Ferdous Pervej and Andreas F. Molisch
  1.39
• Long-Term Client Selection for Federated Learning with Non-IID Data: A Truthful Auction Approach (2025)
  Jinghong Tan et al.
  1.39
• Holo-Artisan: A Personalized Multi-User Holographic Experience for Virtual Museums on the Edge Intelligence (2025)
  Nan-Hong Kuo et al.
  1.39
• Federated Nonlinear System Identification (2025)
  Omkar Tupe et al.
  1.39
• ZTFed-MAS2S: A Zero-Trust Federated Learning Framework with Verifiable Privacy and Trust-Aware Aggregation for Wind Power Data Imputation (2025)
  Yang Li et al.
  1.39
• On the road to more accurate mobile cellular traffic predictions (2023)
  Natalia Vassileva Vesselinova
  —
• Resource Allocation of Industry 4.0 Micro-Service Applications across Serverless Fog Federation (2024)
  Razin Farhan Hussain and Mohsen Amini Salehi
  —
• LightTR: A Lightweight Framework for Federated Trajectory Recovery (2024)
  Ziqiao Liu et al.
  —