FedLite: A Scalable Approach for Federated Learning on
Resource-constrained Clients

v1v2 (latest)

FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients

28 January 2022

Sashank J. Reddi

Sagar M. Waghmare

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Papers citing "FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients"

11 / 11 papers shown

Title
GAS: Generative Activation-Aided Asynchronous Split Federated Learning Jiarong Yang Yuan Liu 62 0 0 02 Sep 2024
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments Jiarong Yang Yuan Liu FedML 65 2 0 08 May 2024
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization Pengchao Han Shiqiang Wang Yang Jiao Jianwei Huang FedML 120 5 0 20 Dec 2023
A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security Ozlem Ceviz Pinar Sadioglu Sevil Sen U. York 53 1 0 07 Dec 2023
Collaborative Distributed Machine Learning Sumit Kumar Jha Patrick Lincoln Sascha Rank Ali Sunyaev 72 1 0 28 Sep 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 102 8 0 20 Jul 2023
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout Irene Wang Prashant J. Nair Divyat Mahajan 80 13 0 05 Jul 2023
EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning Di Wu R. Ullah Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 115 1 0 11 Apr 2023
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes Irene Wang 85 1 0 30 Aug 2022
Reconciling Security and Communication Efficiency in Federated Learning Karthik Prasad Sayan Ghosh Graham Cormode Ilya Mironov Ashkan Yousefpour Pierre Stock FedML 71 9 0 26 Jul 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 76 62 0 20 Jul 2022

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