Learning Paradigms
2,205 papers (6 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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Papers (including subtopics)
PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search
AAAI 2024
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts
AAAI 2024
Personalized Federated Learning for Cross-City Traffic Prediction
IJCAI 2024
Personalized Federated Learning via Feature Distribution Adaptation
NeurIPS 2024
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
NeurIPS 2024
Personalized PCA: Decoupling Shared and Unique Features
JMLR 2024
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
EMNLP 2024
pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning
NeurIPS 2024
Phased Instruction Fine-Tuning for Large Language Models
ACL 2024
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)
AAAI 2024
PLAES: Prompt-generalized and Level-aware Learning Framework for Cross-prompt Automated Essay Scoring
COLING 2024
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
AAAI 2024
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
AAAI 2024
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning
AAAI 2024
Practical Hybrid Gradient Compression for Federated Learning Systems
IJCAI 2024
Private and Personalized Frequency Estimation in a Federated Setting
NeurIPS 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions
NeurIPS 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
NeurIPS 2024
Provably Convergent Federated Trilevel Learning
AAAI 2024
Proving Olympiad Algebraic Inequalities without Human Demonstrations
NeurIPS 2024
Pure Exploration in Asynchronous Federated Bandits
UAI 2024
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention
AAAI 2024
Redefining Contributions: Shapley-Driven Federated Learning
IJCAI 2024
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
NeurIPS 2024
Referee-Meta-Learning for Fast Adaptation of Locational Fairness
AAAI 2024