Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Xia, Yue, Jahani-Nezhad, Tayyebeh, Bitar, Rawad |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning
by: Xia, Yue, et al.
Published: (2025)
by: Xia, Yue, et al.
Published: (2025)
Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises
by: Xia, Yue, et al.
Published: (2024)
by: Xia, Yue, et al.
Published: (2024)
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
LoByITFL: Low Communication Secure and Private Federated Learning
by: Xia, Yue, et al.
Published: (2024)
by: Xia, Yue, et al.
Published: (2024)
ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment
by: Jahani-Nezhad, Tayyebeh, et al.
Published: (2023)
by: Jahani-Nezhad, Tayyebeh, et al.
Published: (2023)
Federated One-Shot Learning with Data Privacy and Objective-Hiding
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
Scalable and Reliable Over-the-Air Federated Edge Learning
by: Egger, Maximilian, et al.
Published: (2024)
by: Egger, Maximilian, et al.
Published: (2024)
BICompFL: Stochastic Federated Learning with Bi-Directional Compression
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning
by: Ergisi, Sena, et al.
Published: (2025)
by: Ergisi, Sena, et al.
Published: (2025)
Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace
by: Jahani-Nezhad, Tayyebeh, et al.
Published: (2024)
by: Jahani-Nezhad, Tayyebeh, et al.
Published: (2024)
Source Anonymity for Private Random Walk Decentralized Learning
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
Self-Regulating Random Walks for Resilient Decentralized Learning on Graphs
by: Egger, Maximilian, et al.
Published: (2024)
by: Egger, Maximilian, et al.
Published: (2024)
Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
On the Extension of Private Distributed Matrix Multiplication Schemes to the Grid Partition
by: Hofmeister, Christoph, et al.
Published: (2026)
by: Hofmeister, Christoph, et al.
Published: (2026)
Interactive Byzantine-Resilient Gradient Coding for General Data Assignments
by: Jain, Shreyas, et al.
Published: (2024)
by: Jain, Shreyas, et al.
Published: (2024)
Decentralized Federated Learning Over Imperfect Communication Channels
by: Li, Weicai, et al.
Published: (2024)
by: Li, Weicai, et al.
Published: (2024)
Personalized Federated Learning for Generative AI-Assisted Semantic Communications
by: Peng, Yubo, et al.
Published: (2024)
by: Peng, Yubo, et al.
Published: (2024)
Private Aggregation in Hierarchical Wireless Federated Learning with Partial and Full Collusion
by: Egger, Maximilian, et al.
Published: (2023)
by: Egger, Maximilian, et al.
Published: (2023)
Hierarchical Federated Learning with SignSGD: A Highly Communication-Efficient Approach
by: Kazemi, Amirreza, et al.
Published: (2026)
by: Kazemi, Amirreza, et al.
Published: (2026)
Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2026)
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2026)
Robust Regression with Ensembles Communicating over Noisy Channels
by: Ben-Hur, Yuval, et al.
Published: (2024)
by: Ben-Hur, Yuval, et al.
Published: (2024)
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
by: Yu, Xin, et al.
Published: (2024)
by: Yu, Xin, et al.
Published: (2024)
CAFe: Cost and Age aware Federated Learning
by: Liyanaarachchi, Sahan, et al.
Published: (2024)
by: Liyanaarachchi, Sahan, et al.
Published: (2024)
Privacy-aware Berrut Approximated Coded Computing for Federated Learning
by: Luaña, Xavier Martínez, et al.
Published: (2024)
by: Luaña, Xavier Martínez, et al.
Published: (2024)
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning
by: Kang, Yan, et al.
Published: (2022)
by: Kang, Yan, et al.
Published: (2022)
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs
by: Mohammadi, Samaneh, et al.
Published: (2025)
by: Mohammadi, Samaneh, et al.
Published: (2025)
Closing the Generalization Gap in Parameter-efficient Federated Edge Learning
by: Du, Xinnong, et al.
Published: (2025)
by: Du, Xinnong, et al.
Published: (2025)
A Unified Analysis of Federated Learning with Arbitrary Client Participation
by: Wang, Shiqiang, et al.
Published: (2022)
by: Wang, Shiqiang, et al.
Published: (2022)
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data
by: Makkonen, Okko, et al.
Published: (2024)
by: Makkonen, Okko, et al.
Published: (2024)
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning
by: Yan, Jintao, et al.
Published: (2024)
by: Yan, Jintao, et al.
Published: (2024)
Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning
by: Zhao, Xiyu, et al.
Published: (2025)
by: Zhao, Xiyu, et al.
Published: (2025)
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
by: Moradi, Parsa, et al.
Published: (2024)
by: Moradi, Parsa, et al.
Published: (2024)
Robust DNN Partitioning and Resource Allocation Under Uncertain Inference Time
by: Nan, Zhaojun, et al.
Published: (2025)
by: Nan, Zhaojun, et al.
Published: (2025)
The Entrapment Problem in Random Walk Decentralized Learning
by: Liu, Zonghong, et al.
Published: (2024)
by: Liu, Zonghong, et al.
Published: (2024)
A Generalized Hierarchical Federated Learning Framework with Theoretical Guarantees
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2025)
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2025)
Learning from Acceptance: Cumulative Regret in the Game of Coding
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2026)
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2026)
A Theoretical Framework for Energy-Aware Gradient Pruning in Federated Learning
by: Athanasakos, Emmanouil M.
Published: (2026)
by: Athanasakos, Emmanouil M.
Published: (2026)
Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm
by: Lyu, Zhonghao, et al.
Published: (2024)
by: Lyu, Zhonghao, et al.
Published: (2024)
Exploiting Correlations in Federated Learning: Opportunities and Practical Limitations
by: Edin, Adrian, et al.
Published: (2026)
by: Edin, Adrian, et al.
Published: (2026)
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis
by: Shi, Yuanming, et al.
Published: (2024)
by: Shi, Yuanming, et al.
Published: (2024)
Similar Items
-
Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning
by: Xia, Yue, et al.
Published: (2025) -
Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises
by: Xia, Yue, et al.
Published: (2024) -
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
by: Egger, Maximilian, et al.
Published: (2025) -
LoByITFL: Low Communication Secure and Private Federated Learning
by: Xia, Yue, et al.
Published: (2024) -
ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment
by: Jahani-Nezhad, Tayyebeh, et al.
Published: (2023)