Learning Paradigms

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis ICCV 2023 Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning NeurIPS 2023 Towards Instance-adaptive Inference for Federated Learning ICCV 2023 Towards Personalized Federated Learning via Heterogeneous Model Reassembly NeurIPS 2023 Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning AAAI 2023 Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023 Towards Unbiased Training in Federated Open-world Semi-supervised Learning ICML 2023 Towards Understanding Ensemble Distillation in Federated Learning ICML 2023 Train Hard, Fight Easy: Robust Meta Reinforcement Learning NeurIPS 2023 Transfer NAS with Meta-learned Bayesian Surrogates ICLR 2023 Transformers Learn In-Context by Gradient Descent ICML 2023 Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023 Understanding Train-Validation Split in Meta-Learning with Neural Networks ICLR 2023 Universal Information Extraction with Meta-Pretrained Self-Retrieval ACL 2023 Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023 User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023 Vertical Federated Graph Neural Network for Recommender System ICML 2023 What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning ACL 2023 When Do Curricula Work in Federated Learning? ICCV 2023 Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation AAAI 2023 Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking NeurIPS 2023 Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning ACL 2023 Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022 A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NeurIPS 2022 A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning NeurIPS 2022