Federated Learning

PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract) AAAI 2024 Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images AAAI 2024 Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting ICLR 2024 Private and Personalized Frequency Estimation in a Federated Setting NeurIPS 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NeurIPS 2024 Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024 Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains AISTATS 2024 Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Redefining Contributions: Shapley-Driven Federated Learning IJCAI 2024 Relaxed Contrastive Learning for Federated Learning CVPR 2024 Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data CVPR 2024 Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space CVPR 2024 Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024 Revisiting Ensembling in One-Shot Federated Learning NeurIPS 2024 Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks AAAI 2024 RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation NeurIPS 2024 Robot Fleet Learning via Policy Merging ICLR 2024 Robust Training of Federated Models with Extremely Label Deficiency ICLR 2024 Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024 Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization RSS 2024 Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024 SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization AISTATS 2024 Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity ICLR 2024 SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NeurIPS 2024 SPEAR: Exact Gradient Inversion of Batches in Federated Learning NeurIPS 2024