Showing 21–40 of 89 results
/ Date/ Name
Sep 26, 2024Efficient Federated Learning against Heterogeneous and Non-stationary Client UnavailabilityAug 7, 2025MZEN: Multi-Zoom Enhanced NeRF for 3-D Reconstruction with Unknown Camera PosesSep 28, 2022FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing MigrationsOct 12, 2025FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch SizesFeb 20, 2026Memory-Based Advantage Shaping for LLM-Guided Reinforcement LearningFeb 12, 2026The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMsFeb 27, 2026DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision PathsMar 12, 2020Machine Learning on Volatile InstancesJun 1, 2019Proportional Fair RAT Aggregation in HetNetsJul 29, 2020Paid Prioritization with Content CompetitionJun 12, 2020Towards Flexible Device Participation in Federated LearningJun 24, 2020Online Competitive Influence MaximizationOct 5, 2020Can we Generalize and Distribute Private Representation Learning?May 23, 2023GiPH: Generalizable Placement Learning for Adaptive Heterogeneous ComputingApr 15, 2024Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary DynamicsMar 20, 2023FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning SystemJun 8, 2023FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMsDec 4, 2017On the Real-time Vehicle Placement ProblemMar 27, 2024CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoTAug 19, 2023Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning