Learning Paradigms

Dual Reciprocal Learning of Language-based Human Motion Understanding and Generation ICCV 2025 Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning EMNLP 2025 Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee IJCAI 2025 EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025 ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks IJCAI 2025 EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025 Efficient Cross-Episode Meta-RL ICLR 2025 Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025 Efficiently Escaping Saddle Points in Bilevel Optimization JMLR 2025 EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025 ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression UAI 2025 Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World AAAI 2025 Enhancing Model Privacy in Federated Learning with Random Masking and Quantization EMNLP 2025 Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data AAAI 2025 Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy AAAI 2025 Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025 EvoAgentX: An Automated Framework for Evolving Agentic Workflows EMNLP 2025 EvoCL: Continual Learning over Evolving Domains WACV 2025 Evolutionary Large Language Model for Automated Feature Transformation AAAI 2025 Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks AAAI 2025 Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025 Exploiting Label Skewness for Spiking Neural Networks in Federated Learning IJCAI 2025 Exploring Vacant Classes in Label-Skewed Federated Learning AAAI 2025 F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025 Facilitating Personalized TTS for Dysarthric Speakers Using Knowledge Anchoring and Curriculum Learning Interspeech 2025