Coding for Straggler Mitigation in Federated Learning

30 September 2021

Papers citing "Coding for Straggler Mitigation in Federated Learning"

7 / 7 papers shown

Title
Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction Jingxin Li Toktam Mahmoodi H. Lam FedML 34 2 0 16 Feb 2023
Securely Aggregated Coded Matrix Inversion Neophytos Charalambides Mert Pilanci Alfred Hero FedML 21 3 0 09 Jan 2023
Introducing Federated Learning into Internet of Things ecosystems -- preliminary considerations Karolina Bogacka Katarzyna Wasielewska-Michniewska M. Paprzycki M. Ganzha Anastasiya Danilenka L. Tassakos Eduardo Garro FedML 18 1 0 15 Jul 2022
Computational Code-Based Privacy in Coded Federated Learning M. Xhemrishi Alexandre Graell i Amat E. Rosnes Antonia Wachter-Zeh FedML 38 4 0 28 Feb 2022
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning Reent Schlegel Siddhartha Kumar E. Rosnes Alexandre Graell i Amat FedML 32 43 0 16 Dec 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 55 157 0 14 Feb 2021
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Amirhossein Reisizadeh Isidoros Tziotis Hamed Hassani Aryan Mokhtari Ramtin Pedarsani FedML 172 99 0 28 Dec 2020