Distributed Learning

CO2: Efficient Distributed Training with Full Communication-Computation Overlap ICLR 2024 Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework NeurIPS 2024 CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following ACL 2024 Communication Bounds for the Distributed Experts Problem NeurIPS 2024 Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024 Communication Efficient Distributed Newton Method over Unreliable Networks AAAI 2024 Communication Efficient Distributed Training with Distributed Lion NeurIPS 2024 Communication-Efficient Federated Group Distributionally Robust Optimization NeurIPS 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 Compression with Exact Error Distribution for Federated Learning AISTATS 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans NeurIPS 2024 Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization AAAI 2024 Delegating Data Collection in Decentralized Machine Learning AISTATS 2024 DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024 DISCO: Distributed Inference With Sparse Communications WACV 2024 DISTMM: Accelerating Distributed Multimodal Model Training NSDI 2024 Distributed Estimation on Semi-Supervised Generalized Linear Model JMLR 2024 Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms JMLR 2024 Distributed Least Squares in Small Space via Sketching and Bias Reduction NeurIPS 2024 Distributed Manifold Hashing for Image Set Classification and Retrieval AAAI 2024 Distributed on-the-fly control of multi-agent systems with unknown dynamics: Using limited data to obtain near-optimal control L4DC 2024 Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD NeurIPS 2024 Dual-Personalizing Adapter for Federated Foundation Models NeurIPS 2024