Federated Learning

Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation IJCAI 2024 Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views NeurIPS 2024 Budget Feasible Mechanisms: A Survey IJCAI 2024 Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping CVPR 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 CLAP: Collaborative Adaptation for Patchwork Learning ICLR 2024 Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NeurIPS 2024 CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics NeurIPS 2024 CoBo: Collaborative Learning via Bilevel Optimization NeurIPS 2024 Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024 Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024 Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024 Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024 Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates ICLR 2024 Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024 Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024 Compression with Exact Error Distribution for Federated Learning AISTATS 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data NeurIPS 2024 Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit ICLR 2024 Convergence Analysis of Split Federated Learning on Heterogeneous Data NeurIPS 2024 Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging NeurIPS 2024 Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024 DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices NeurIPS 2024 DarkFed: A Data-Free Backdoor Attack in Federated Learning IJCAI 2024