Christopher G. Brinton
5 papers in the PaperMetrix corpus
Papers by this author
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Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing
2022 · arXiv (Cornell University)
In this paper, we study a new latency optimization problem for blockchain-based federated learning (BFL) in multi-server edge computing. In this system model, distributed mobile devices (MDs) communicate with a set of edge servers (ESs) …
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Defending Adversarial Attacks on Deep Learning Based Power Allocation in Massive MIMO Using Denoising Autoencoders
2022 · arXiv (Cornell University)
Recent work has advocated for the use of deep learning to perform power allocation in the downlink of massive MIMO (maMIMO) networks. Yet, such deep learning models are vulnerable to adversarial attacks. In the context …
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Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange
2022 · GLOBECOM 2022 - 2022 IEEE Global Communications Conference
Federated learning (FL) has been recognized as one of the most promising solutions for distributed machine learning (ML). In most of the current literature, FL has been studied for supervised ML tasks, in which edge …
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Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations
2023 · arXiv (Cornell University)
Existing approaches to distributed matrix computations involve allocating coded combinations of submatrices to worker nodes, to build resilience to stragglers and/or enhance privacy. In this study, we consider the challenge of preserving input sparsity in …
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On the Effects of Data Heterogeneity on the Convergence Rates of Distributed Linear System Solvers
2023
We consider the fundamental problem of solving a large-scale system of linear equations. In particular, we consider the setting where a taskmaster intends to solve the system in a distributed/federated fashion with the help of …