Showing 1–20 of 47 results
/ Date/ Name
Nov 22, 2021FedCV: A Federated Learning Framework for Diverse Computer Vision TasksOct 11, 2019Central Server Free Federated Learning over Single-sided Trust Social NetworksJul 28, 2020Group Knowledge Transfer: Federated Learning of Large CNNs at the EdgeApr 18, 2020Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture SearchJun 4, 2021SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural NetworksMar 27, 2020MiLeNAS: Efficient Neural Architecture Search via Mixed-Level ReformulationFeb 5, 2021PipeTransformer: Automated Elastic Pipelining for Distributed Training of TransformersOct 6, 2021SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-SupervisionApr 14, 2021FedGraphNN: A Federated Learning System and Benchmark for Graph Neural NetworksJun 27, 2019Efficient Spatial Anti-Aliasing Rendering for Line Joins on Vector MapsDec 10, 2022SMILE: Scaling Mixture-of-Experts with Efficient Bi-level RoutingJul 27, 2020FedML: A Research Library and Benchmark for Federated Machine LearningJun 27, 2019Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite GraphsFeb 2, 2023Federated Analytics: A surveyJul 5, 2023Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID DataOct 26, 2021MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the EdgeOct 2, 2021FairFed: Enabling Group Fairness in Federated LearningJul 4, 2019Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence LabellingNov 15, 2021Federated Learning for Internet of Things: Applications, Challenges, and OpportunitiesMar 20, 2023FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System