Learning Paradigms
2,205 papers (6 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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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