Cover Image

Game of Coding: Sybil Resistant Decentralized Machine Learning with Minimal Trust Assumption

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nodehi, Hanzaleh Akbari, Cadambe, Viveck R., Maddah-Ali, Mohammad Ali
Format:	Preprint
Published:	2024
Subjects:	Information Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Game of Coding: Beyond Honest-Majority Assumptions
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2024)

Game of Coding: Coding Theory in the Presence of Rational Adversaries, Motivated by Decentralized Machine Learning
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2026)

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

Game of Coding With an Unknown Adversary
by: Akbarinodehi, Hanzaleh, et al.
Published: (2025)

Game of Coding for Vector-Valued Computations
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2026)

\mathsf{VISTA}: Decentralized Machine Learning in Adversary Dominated Environments
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2026)

FLARE: One-Shot PE-Level Fault Localization in Systolic Arrays via Algebraic Test Vectors
by: Venkatasubramanian, Logashree, et al.
Published: (2026)

Local Differential Privacy with Correlated Noise Achieves Central-DP Optimal Cost
by: Pathegama, Madhura, et al.
Published: (2026)

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

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

Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation
by: Vithana, Sajani, 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)

Differentially Private Secure Multiplication: Beyond Two Multiplicands
by: Hu, Haoyang, et al.
Published: (2026)

Differentially Private Secure Multiplication with Erasures and Adversaries
by: Hu, Haoyang, et al.
Published: (2025)

General Coded Computing: Adversarial Settings
by: Moradi, Parsa, et al.
Published: (2025)

Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise
by: Cadambe, Viveck R., et al.
Published: (2023)

Adversarial Robustness of Nonparametric Regression
by: Moradi, Parsa, et al.
Published: (2025)

On Existence of Latency Optimal Uncoded Storage Schemes in Geo-Distributed Data Storage Systems
by: Acharya, Srivathsa, et al.
Published: (2024)

Few-Shot Channel-Agnostic Analog Coding: A Near-Optimal Scheme
by: Maddah-Ali, Mohammad Ali, et al.
Published: (2024)

DReS: Dual Reconstruction Smoothing for Functional Regularization
by: Moradi, Parsa, et al.
Published: (2025)

Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms
by: Bermudez, Yaiza, et al.
Published: (2026)

Federated Learning via Lattice Joint Source-Channel Coding
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)

General Coded Computing in a Probabilistic Straggler Regime
by: Moradi, Parsa, et al.
Published: (2025)

Mixture-of-Experts under Finite-Rate Gating: Communication--Generalization Trade-offs
by: Khalesi, Ali, et al.
Published: (2026)

Expert Routing for Communication-Efficient MoE via Finite Expert Banks
by: Salehi, Mohammad Reza Deylam, et al.
Published: (2026)

Shapley-Based Data Valuation with Mutual Information: A Key to Modified K-Nearest Neighbors
by: Vahedifar, Mohammad Ali, et al.
Published: (2023)

Continual Deep Reinforcement Learning for Decentralized Satellite Routing
by: Lozano-Cuadra, Federico, et al.
Published: (2024)

Minimal Communication-Cost Statistical Learning
by: Sefidgaran, Milad, et al.
Published: (2024)

Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation
by: Falahati, Ali, et al.
Published: (2024)

Compute-Update Federated Learning: A Lattice Coding Approach Over-the-Air
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)

Decentralized Fairness Aware Multi Task Federated Learning for VR Network
by: Tharakan, Krishnendu S., et al.
Published: (2025)

Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
by: Rosenberger, Hans, et al.
Published: (2025)

VALID: a Validated Algorithm for Learning in Decentralized Networks with Possible Adversarial Presence
by: Bakshi, Mayank, et al.
Published: (2024)

Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
by: Zhang, Kaihong, et al.
Published: (2024)

Byzantine-Resilient Over-the-Air Federated Learning under Zero-Trust Architecture
by: Yao, Jiacheng, et al.
Published: (2025)

Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning
by: Tang, Tingting, et al.
Published: (2021)

Out-of-Distribution Detection using Maximum Entropy Coding
by: Abolfazli, Mojtaba, et al.
Published: (2024)

Straggler-Resilient Differentially-Private Decentralized Learning
by: Yakimenka, Yauhen, et al.
Published: (2022)

A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization
by: Long, Nguyen Chi, et al.
Published: (2025)

Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems
by: Asaad, Saba, et al.
Published: (2026)