distributed machine learning

AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent AAAI 2025 ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning ICML 2025 Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies ICLR 2025 On the Robustness of Distributed Machine Learning Against Transfer Attacks AAAI 2025 Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity ICML 2025 HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links NeurIPS 2024 Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract) AAAI 2024 Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients EMNLP 2024 Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NeurIPS 2024 Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning ICML 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023 Collie: Finding Performance Anomalies in RDMA Subsystems NSDI 2022 Communication-efficient and Scalable Decentralized Federated Edge Learning IJCAI 2021 EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition AAAI 2021 Scaling Distributed Machine Learning with In-Network Aggregation NSDI 2021 Distributed Machine Learning through Heterogeneous Edge Systems AAAI 2020 GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020 KungFu: Making Training in Distributed Machine Learning Adaptive OSDI 2020 Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation UAI 2019 Learning to Learn Gradient Aggregation by Gradient Descent IJCAI 2019 Toward Understanding the Impact of Staleness in Distributed Machine Learning ICLR 2019 BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training NeurIPS 2018 Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent NeurIPS 2017 MLlib: Machine Learning in Apache Spark JMLR 2016 Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications NeurIPS 2015