federated learning

Bayesian Coreset Optimization for Personalized Federated Learning ICLR 2024 Benchmarking Algorithms for Federated Domain Generalization ICLR 2024 Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning AAAI 2024 Bidirectional Contrastive Split Learning for Visual Question Answering AAAI 2024 BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024 Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation IJCAI 2024 Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages ICLR 2024 Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views NeurIPS 2024 Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning ICML 2024 Budget Feasible Mechanisms: A Survey IJCAI 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024 Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024 CLAP: Collaborative Adaptation for Patchwork Learning ICLR 2024 Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NeurIPS 2024 CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data AAAI 2024 CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics NeurIPS 2024 COALA: A Practical and Vision-Centric Federated Learning Platform ICML 2024 CoBo: Collaborative Learning via Bilevel Optimization NeurIPS 2024 Collaborative Heterogeneous Causal Inference Beyond Meta-analysis ICML 2024 Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024 Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline CVPR 2024 Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators AAAI 2024 Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024 Communication-Efficient Federated Group Distributionally Robust Optimization NeurIPS 2024