{"total":26,"rows":[{"id":"2301.11913","title":"SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient","created":"2023-01-27","cited_by_count":59,"area":null},{"id":"2103.00543","title":"On the Utility of Gradient Compression in Distributed Training Systems","created":"2021-02-28","cited_by_count":26,"area":null},{"id":"2401.09135","title":"Asynchronous Local-SGD Training for Language Modeling","created":"2024-01-17","cited_by_count":26,"area":null},{"id":"2106.04759","title":"Communication-efficient SGD: From Local SGD to One-Shot Averaging","created":"2021-06-09","cited_by_count":19,"area":null},{"id":"2305.13854","title":"The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey","created":"2023-05-23","cited_by_count":14,"area":null},{"id":"2205.03884","title":"Decentralized Stochastic Optimization with Inherent Privacy Protection","created":"2022-05-08","cited_by_count":11,"area":null},{"id":"2212.07534","title":"Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy","created":"2022-12-14","cited_by_count":10,"area":null},{"id":"2406.00431","title":"SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead","created":"2024-06-01","cited_by_count":9,"area":null},{"id":"2211.02212","title":"Distributed Linear Bandits under Communication Constraints","created":"2022-11-04","cited_by_count":8,"area":null},{"id":"2301.08869","title":"A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret","created":"2023-01-21","cited_by_count":7,"area":null},{"id":"2304.13545","title":"Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning","created":"2023-04-26","cited_by_count":4,"area":null},{"id":"2306.07159","title":"On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach","created":"2023-06-12","cited_by_count":4,"area":null},{"id":"2102.06280","title":"Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers","created":"2021-02-11","cited_by_count":3,"area":null},{"id":"2302.12445","title":"DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining","created":"2023-02-24","cited_by_count":3,"area":null},{"id":"2112.04291","title":"FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning","created":"2021-12-08","cited_by_count":2,"area":null},{"id":"2406.08115","title":"Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey","created":"2024-06-12","cited_by_count":2,"area":null},{"id":"2102.09631","title":"Peering Beyond the Gradient Veil with Distributed Auto Differentiation","created":"2021-02-18","cited_by_count":1,"area":null},{"id":"2111.14955","title":"Privacy-Preserving Serverless Edge Learning with Decentralized Small Data","created":"2021-11-29","cited_by_count":1,"area":null},{"id":"2211.09723","title":"Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP","created":"2022-11-03","cited_by_count":1,"area":null},{"id":"2304.07613","title":"STen: Productive and Efficient Sparsity in PyTorch","created":"2023-04-15","cited_by_count":1,"area":null},{"id":"2411.16462","title":"Lion Cub: Minimizing Communication Overhead in Distributed Lion","created":"2024-11-25","cited_by_count":1,"area":null},{"id":"2501.03222","title":"Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization","created":"2025-01-06","cited_by_count":1,"area":null},{"id":"2506.17974","title":"Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm","created":"2025-06-22","cited_by_count":1,"area":null},{"id":"2509.18129","title":"Pareto-optimal Trade-offs Between Communication and Computation with Flexible Gradient Tracking","created":"2025-09-11","cited_by_count":0,"area":null},{"id":"2602.19116","title":"Event-Triggered Gossip for Distributed Learning","created":"2026-02-22","cited_by_count":0,"area":null},{"id":"2608.06563","title":"Theoretical Foundations of Communication-Efficient, Robust, and Practical Distributed and Federated Optimization","created":"2026-08-06","cited_by_count":0,"area":null}],"next_cursor":null}