Saved in:
| Main Authors: | Tegin, Busra, Ali, Muhammad Atif, Duman, Tolga M |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.10245 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
by: Bagci, Furkan, et al.
Published: (2025)
by: Bagci, Furkan, et al.
Published: (2025)
Wireless Distributed Matrix-Vector Multiplication using Over-the-Air Computation and Analog Coding
by: Choi, Jinho
Published: (2024)
by: Choi, Jinho
Published: (2024)
Towards Optimal Constellation Design for Digital Over-the-Air Computation
by: Razavikia, Saeed, et al.
Published: (2025)
by: Razavikia, Saeed, 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)
Waveform Design for Over-the-Air Computing
by: Evgenidis, Nikos G., et al.
Published: (2024)
by: Evgenidis, Nikos G., et al.
Published: (2024)
Out-of-Air Computation: Enabling Structured Extraction from Wireless Superposition
by: Azimi-Abarghouyi, Seyed Mohammad
Published: (2026)
by: Azimi-Abarghouyi, Seyed Mohammad
Published: (2026)
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
by: Moradi, Parsa, et al.
Published: (2024)
by: Moradi, Parsa, et al.
Published: (2024)
Perfect Multi-User Distributed Computing
by: Khalesi, Ali, et al.
Published: (2024)
by: Khalesi, Ali, et al.
Published: (2024)
Learned Digital Codes for Over-the-Air Computation in Federated Edge Learning
by: Tarizzo, Antonio, et al.
Published: (2025)
by: Tarizzo, Antonio, et al.
Published: (2025)
Double-Edge-Assisted Computation Offloading and Resource Allocation for Space-Air-Marine Integrated Networks
by: Wang, Zhen, et al.
Published: (2025)
by: Wang, Zhen, et al.
Published: (2025)
NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systems
by: Moradi, Parsa, et al.
Published: (2024)
by: Moradi, Parsa, et al.
Published: (2024)
SLO-Aware Compute Resource Allocation for Prefill-Decode Disaggregated LLM Inference
by: Li, Luchang, et al.
Published: (2026)
by: Li, Luchang, et al.
Published: (2026)
Decentralized Federated Learning Over Imperfect Communication Channels
by: Li, Weicai, et al.
Published: (2024)
by: Li, Weicai, 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)
Robust DNN Partitioning and Resource Allocation Under Uncertain Inference Time
by: Nan, Zhaojun, et al.
Published: (2025)
by: Nan, Zhaojun, 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)
Distributed On-Device LLM Inference With Over-the-Air Computation
by: Zhang, Kai, et al.
Published: (2025)
by: Zhang, Kai, et al.
Published: (2025)
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)
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 Distributed Computation via Task Replication and Local Computations
by: Rajesh, Aayush, et al.
Published: (2025)
by: Rajesh, Aayush, et al.
Published: (2025)
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning
by: Tang, Tingting, et al.
Published: (2021)
by: Tang, Tingting, et al.
Published: (2021)
Rate-limited Shuffling for Distributed Computing
by: Sasi, Shanuja, et al.
Published: (2024)
by: Sasi, Shanuja, et al.
Published: (2024)
Wireless MapReduce Arrays for Coded Distributed Computing
by: Peter, Elizabath, et al.
Published: (2024)
by: Peter, Elizabath, et al.
Published: (2024)
Dual-Lagrange Encoding for Storage and Download in Elastic Computing for Resilience
by: Zhong, Xi, et al.
Published: (2025)
by: Zhong, Xi, et al.
Published: (2025)
Redundancy Management for Fast Service (Rates) in Edge Computing Systems
by: Peng, Pei, et al.
Published: (2023)
by: Peng, Pei, et al.
Published: (2023)
Uncoded Download in Lagrange-Coded Elastic Computing with Straggler Tolerance
by: Zhong, Xi, et al.
Published: (2025)
by: Zhong, Xi, et al.
Published: (2025)
Distributed Linearly Separable Computation with Arbitrary Heterogeneous Data Assignment
by: Zhang, Ziting, et al.
Published: (2026)
by: Zhang, Ziting, et al.
Published: (2026)
Coded Distributed Computing with Pre-set Assignments of Data and Output Functions
by: Wang, Yuhan, et al.
Published: (2022)
by: Wang, Yuhan, et al.
Published: (2022)
Machine Learning-Driven Performance Analysis of Compressed Communication in Aerial-RIS Networks for Future 6G Networks
by: Khan, Muhammad Farhan, et al.
Published: (2025)
by: Khan, Muhammad Farhan, et al.
Published: (2025)
Algebraic Geometry Codes for Distributed Matrix Multiplication Using Local Expansions
by: Li, Jiang, et al.
Published: (2024)
by: Li, Jiang, et al.
Published: (2024)
Secure Communication in the Presence of an RIS-Enhanced Eavesdropper in MIMO Networks
by: Zhang, Gaoyuan, et al.
Published: (2025)
by: Zhang, Gaoyuan, et al.
Published: (2025)
Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks
by: Herrera, Daniel Pérez, et al.
Published: (2024)
by: Herrera, Daniel Pérez, et al.
Published: (2024)
Closing the Generalization Gap in Parameter-efficient Federated Edge Learning
by: Du, Xinnong, et al.
Published: (2025)
by: Du, Xinnong, et al.
Published: (2025)
CAFe: Cost and Age aware Federated Learning
by: Liyanaarachchi, Sahan, et al.
Published: (2024)
by: Liyanaarachchi, Sahan, et al.
Published: (2024)
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)
Optimal Compression of Unit Norm Vectors in the High Distortion Regime
by: Zhu, Heng, et al.
Published: (2023)
by: Zhu, Heng, et al.
Published: (2023)
Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning
by: Xia, Yue, et al.
Published: (2025)
by: Xia, Yue, et al.
Published: (2025)
Hierarchical Federated Learning with SignSGD: A Highly Communication-Efficient Approach
by: Kazemi, Amirreza, et al.
Published: (2026)
by: Kazemi, Amirreza, et al.
Published: (2026)
BICompFL: Stochastic Federated Learning with Bi-Directional Compression
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
Similar Items
-
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
by: Bagci, Furkan, et al.
Published: (2025) -
Wireless Distributed Matrix-Vector Multiplication using Over-the-Air Computation and Analog Coding
by: Choi, Jinho
Published: (2024) -
Towards Optimal Constellation Design for Digital Over-the-Air Computation
by: Razavikia, Saeed, et al.
Published: (2025) -
Scalable and Reliable Over-the-Air Federated Edge Learning
by: Egger, Maximilian, et al.
Published: (2024) -
Waveform Design for Over-the-Air Computing
by: Evgenidis, Nikos G., et al.
Published: (2024)