Cover Image

Robust Regression with Ensembles Communicating over Noisy Channels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ben-Hur, Yuval, Cassuto, Yuval
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decentralized Federated Learning Over Imperfect Communication Channels
by: Li, Weicai, et al.
Published: (2024)

Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning
by: Xia, Yue, et al.
Published: (2025)

NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systems
by: Moradi, Parsa, et al.
Published: (2024)

Robust DNN Partitioning and Resource Allocation Under Uncertain Inference Time
by: Nan, Zhaojun, et al.
Published: (2025)

Personalized Federated Learning for Generative AI-Assisted Semantic Communications
by: Peng, Yubo, et al.
Published: (2024)

Hierarchical Federated Learning with SignSGD: A Highly Communication-Efficient Approach
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)

Consensus Capacity of Noisy Broadcast Channels
by: Sangwan, Neha, et al.
Published: (2022)

Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks
by: Herrera, Daniel Pérez, et al.
Published: (2024)

Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
by: Turkmen, Yigit, et al.
Published: (2026)

Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
by: Moradi, Parsa, et al.
Published: (2024)

CAFe: Cost and Age aware Federated Learning
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)

The Entrapment Problem in Random Walk Decentralized Learning
by: Liu, Zonghong, et al.
Published: (2024)

Scalable and Reliable Over-the-Air Federated Edge Learning
by: Egger, Maximilian, et al.
Published: (2024)

Closing the Generalization Gap in Parameter-efficient Federated Edge Learning
by: Du, Xinnong, et al.
Published: (2025)

Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing
by: Tegin, Busra, et al.
Published: (2025)

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning
by: Xia, Yue, et al.
Published: (2025)

Optimal Compression of Unit Norm Vectors in the High Distortion Regime
by: Zhu, Heng, et al.
Published: (2023)

Learning from Acceptance: Cumulative Regret in the Game of Coding
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2026)

BICompFL: Stochastic Federated Learning with Bi-Directional Compression
by: Egger, Maximilian, et al.
Published: (2025)

Out-of-Air Computation: Enabling Structured Extraction from Wireless Superposition
by: Azimi-Abarghouyi, Seyed Mohammad
Published: (2026)

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
by: Egger, Maximilian, et al.
Published: (2025)

SLO-Aware Compute Resource Allocation for Prefill-Decode Disaggregated LLM Inference
by: Li, Luchang, et al.
Published: (2026)

On the Power of Graphical Reconfigurable Circuits
by: Emek, Yuval, et al.
Published: (2024)

Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks
by: Hu, Chung-Hsuan, et al.
Published: (2022)

Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
by: Elgabli, Anis, et al.
Published: (2019)

Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning
by: Yan, Jintao, et al.
Published: (2024)

LoByITFL: Low Communication Secure and Private Federated Learning
by: Xia, Yue, et al.
Published: (2024)

RCC-PFL: Robust Client Clustering under Noisy Labels in Personalized Federated Learning
by: Ali, Abdulmoneam, et al.
Published: (2025)

Self-Regulating Random Walks for Resilient Decentralized Learning on Graphs
by: Egger, Maximilian, et al.
Published: (2024)

Minimax Optimal Algorithms with Fixed-$k$-Nearest Neighbors
by: Ryu, J. Jon, et al.
Published: (2022)

TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
by: He, Zelin, et al.
Published: (2024)

Age-of-Gradient Updates for Federated Learning over Random Access Channels
by: Wu, Yu Heng, et al.
Published: (2024)

Communication-Efficient Approximate Gradient Coding
by: Munim, Sifat, et al.
Published: (2026)

Coded Distributed (Batch) Matrix Multiplication over Galois Ring via RMFE
by: Kuang, Yi, et al.
Published: (2024)

Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits
by: Khisti, Ashish, et al.
Published: (2024)

Privacy-aware Berrut Approximated Coded Computing for Federated Learning
by: Luaña, Xavier Martínez, et al.
Published: (2024)

Secure Communication in the Presence of an RIS-Enhanced Eavesdropper in MIMO Networks
by: Zhang, Gaoyuan, et al.
Published: (2025)

Distributed Maximum Consensus over Noisy Links
by: Lari, Ehsan, et al.
Published: (2024)