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Learning Paradigms

2,205 papers (6 classified directly here)

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Papers (including subtopics)

Towards Privacy-Preserving Split Learning for ControlNet WACV 2025 Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning ICCV 2025 Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients ACL 2025 TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025 Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights CVPR 2025 TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization AAAI 2025 UI-Hawk: Unleashing the Screen Stream Understanding for Mobile GUI Agents EMNLP 2025 Unified Multimodal Understanding via Byte-Pair Visual Encoding ICCV 2025 Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025 Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025 WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling AAAI 2025 When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather WACV 2025 Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025 XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML EMNLP 2025 X-FLoRA: Cross-modal Federated Learning with Modality-expert LoRA for Medical VQA EMNLP 2025 You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025 Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric IJCAI 2025 pfl-research: simulation framework for accelerating research in Private Federated Learning NeurIPS 2024 A2XP: Towards Private Domain Generalization CVPR 2024 Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning AAAI 2024 A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024 Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization EMNLP 2024 Adapted Weighted Aggregation in Federated Learning AAAI 2024 Adaptive Compression in Federated Learning via Side Information AISTATS 2024