Distributed Learning

Accelerating Neural Recommendation Training with Embedding Scheduling NSDI 2024 ACCL+: an FPGA-Based Collective Engine for Distributed Applications OSDI 2024 Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization NeurIPS 2024 Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NeurIPS 2024 A deep learning approach for distributed aggregative optimization with users’ Feedback L4DC 2024 A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network NSDI 2024 A multi-modal distributed learning algorithm in reproducing kernel Hilbert spaces L4DC 2024 An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs AAAI 2024 An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024 An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024 A Primal-Dual Algorithm for Hybrid Federated Learning AAAI 2024 A Quadratic Synchronization Rule for Distributed Deep Learning ICLR 2024 AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024 AssistGUI: Task-Oriented PC Graphical User Interface Automation CVPR 2024 A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning CVPR 2024 A Survey on Multi-player Bandits JMLR 2024 A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm NeurIPS 2024 Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization AISTATS 2024 B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data NeurIPS 2024 Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping CVPR 2024 Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 Causal Discovery Under Local Privacy CLeaR 2024 Characterization of Large Language Model Development in the Datacenter NSDI 2024 Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024