Learning Paradigms

Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models AAAI 2026 OmniFM: Toward Modality-Robust and Task-Agnostic Federated Learning for Heterogeneous Medical Imaging CVPR 2026 One-Shot Federated Learning based on Random Feature Extractor UAI 2026 Personalized Federated Training of Diffusion Models with Privacy Guarantees CVPR 2026 Personalized Image Privacy Advisors via Federated Daisy-Chaining WACV 2026 Personalized Longitudinal Medical Report Generation via Temporally-Aware Federated Adaptation CVPR 2026 Revisiting Age of Acquisition in Curriculum Learning: Disentangling Lexical Features and Semantic Structure CoNLL 2026 SAFE: Semantic- and Frequency-Enhanced Curriculum for Cross-Domain Deepfake Detection AAAI 2026 SAPO: Self-Adaptive Process Optimization Makes Small Reasoners Stronger AAAI 2026 SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning WACV 2026 SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs ACL 2026 Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning CVPR 2026 Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations WACV 2026 UTD-HLTRI at SemEval 2026 Task 4: Reasoning like an Expert for Inferring Narrative Similarity SemEval 2026 Valid and Efficient Uncertainty Quantification for Federated Joint Shift UAI 2026 What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning ACL 2026 ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs IJCAI 2025 AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations ACL 2025 Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025 ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model AAAI 2025 ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning AISTATS 2025 A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations L4DC 2025 A Federated Framework for LLM-based Recommendation NAACL 2025 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025