ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.08909
  4. Cited By
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure
  Aggregation in Federated Learning

CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning

16 December 2021
Reent Schlegel
Siddhartha Kumar
E. Rosnes
Alexandre Graell i Amat
    FedML
ArXivPDFHTML

Papers citing "CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning"

10 / 10 papers shown
Title
Federated One-Shot Learning with Data Privacy and Objective-Hiding
Federated One-Shot Learning with Data Privacy and Objective-Hiding
Maximilian Egger
Rüdiger Urbanke
Rawad Bitar
FedML
58
0
0
29 Apr 2025
FLIPS: Federated Learning using Intelligent Participant Selection
FLIPS: Federated Learning using Intelligent Participant Selection
R. Bhope
K. R. Jayaram
N. Venkatasubramanian
Ashish Verma
Gegi Thomas
FedML
29
3
0
07 Aug 2023
Redundancy Management for Fast Service (Rates) in Edge Computing Systems
Redundancy Management for Fast Service (Rates) in Edge Computing Systems
Pei Peng
E. Soljanin
25
1
0
01 Mar 2023
ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated
  Learning Based on Coded Computing and Vector Commitment
ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment
Tayyebeh Jahani-Nezhad
M. Maddah-ali
Giuseppe Caire
FedML
32
2
0
20 Feb 2023
Securely Aggregated Coded Matrix Inversion
Securely Aggregated Coded Matrix Inversion
Neophytos Charalambides
Mert Pilanci
Alfred Hero
FedML
13
3
0
09 Jan 2023
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in
  Secure Aggregation for Federated Learning
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning
Tayyebeh Jahani-Nezhad
M. Maddah-ali
Songze Li
Giuseppe Caire
FedML
34
45
0
24 Mar 2022
Computational Code-Based Privacy in Coded Federated Learning
Computational Code-Based Privacy in Coded Federated Learning
M. Xhemrishi
Alexandre Graell i Amat
E. Rosnes
Antonia Wachter-Zeh
FedML
28
4
0
28 Feb 2022
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation
  in Federated Learning
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So
Chaoyang He
Chien-Sheng Yang
Songze Li
Qian-long Yu
Ramy E. Ali
Başak Güler
Salman Avestimehr
FedML
67
166
0
29 Sep 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity
  and Sparse Gradients
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
Information Theoretic Secure Aggregation with User Dropouts
Information Theoretic Secure Aggregation with User Dropouts
Yizhou Zhao
Hua Sun
FedML
59
67
0
19 Jan 2021
1