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This work studies the distributed empirical risk minimization (ERM) problem under differential privacy (DP) constraint. Standard distributed algorithms achieve DP typically by perturbing all local subgradients with noise, leading to…

Optimization and Control · Mathematics 2023-07-04 Changxin Liu , Karl H. Johansson , Yang Shi

Disaggregated memory leverages recent technology advances in high-density, byte-addressable non-volatile memory and high-performance interconnects to provide a large memory pool shared across multiple compute nodes. Due to higher memory…

Hardware Architecture · Computer Science 2024-06-10 Haris Volos

This paper summarizes the idea of Subarray-Level Parallelism (SALP) in DRAM, which was published in ISCA 2012, and examines the work's significance and future potential. Modern DRAMs have multiple banks to serve multiple memory requests in…

Hardware Architecture · Computer Science 2018-05-08 Yoongu Kim , Vivek Seshadri , Donghyuk Lee , Jamie Liu , Onur Mutlu

The right to be forgotten (RTBF) is motivated by the desire of people not to be perpetually disadvantaged by their past deeds. For this, data deletion needs to be deep and permanent, and should be removed from machine learning models.…

Software Engineering · Computer Science 2024-01-12 Dawen Zhang , Shidong Pan , Thong Hoang , Zhenchang Xing , Mark Staples , Xiwei Xu , Lina Yao , Qinghua Lu , Liming Zhu

The purpose of this thesis is to develop new theories on high-dimensional structured signal recovery under a rather weak assumption on the measurements that only a finite number of moments exists. High-dimensional recovery has been one of…

Statistics Theory · Mathematics 2020-03-06 Xiaohan Wei

Speculative techniques in microarchitectures relax various dependencies in programs, which contributes to the complexity of (weak) memory models. We show using WMM, a new weak memory model, that the model becomes simpler if it includes…

Programming Languages · Computer Science 2016-06-20 Sizhuo Zhang , Arvind , Muralidaran Vijayaraghavan

Dual methods are useful for distributed optimization because they allow agent-level subproblems to be solved in parallel. However, achieving primal feasibility with dual methods is a challenge; it can take many iterations to find prices…

Optimization and Control · Mathematics 2026-05-11 Tetiana Parshakova , Yicheng Bai , Garrett van Ryzin , Stephen Boyd

Reservoir computation models form a subclass of recurrent neural networks with fixed non-trainable input and dynamic coupling weights. Only the static readout from the state space (reservoir) is trainable, thus avoiding the known problems…

Neural and Evolutionary Computing · Computer Science 2024-06-06 Boyu Li , Robert Simon Fong , Peter Tiňo

This paper shows how to harness existing theorem provers for first-order logic to automatically verify safety properties of imperative programs that perform dynamic storage allocation and destructive updating of pointer-valued structure…

Logic in Computer Science · Computer Science 2015-07-01 Tal Lev-Ami , Neil Immerman , Thomas Reps , Mooly Sagiv , Siddharth Srivastava , Greta Yorsh

Remote Direct Memory Access (RDMA) is a technology that allows direct memory access from the memory of one computer into that of another without involving either one's operating system. This enables high-throughput, low-latency networking,…

Logic in Computer Science · Computer Science 2026-05-12 Parosh Aziz Abdulla , Mohamed Faouzi Atig , Govind Rajanbabu , Stephan Spengler

In machine learning, it is common to obtain multiple equally performing models for the same prediction task, e.g., when training neural networks with different random seeds. Model multiplicity (MM) is the situation which arises when these…

Machine Learning · Computer Science 2025-06-26 Junqi Jiang , Antonio Rago , Francesco Leofante , Francesca Toni

The random sequential adsorption (RSA) model is modified to describe damage and crack accumulation. The exclusion for object deposition (for damaged region formation) is not for the whole object, as in the standard RSA, but only for the…

Statistical Mechanics · Physics 2010-10-12 O. Gromenko , V. Privman , M. L. Glasser

We consider the problem of performing linear regression over a stream of $d$-dimensional examples, and show that any algorithm that uses a subquadratic amount of memory exhibits a slower rate of convergence than can be achieved without…

Machine Learning · Computer Science 2020-10-13 Vatsal Sharan , Aaron Sidford , Gregory Valiant

We investigate the minimal number of failures that can partition a system where processes communicate both through shared memory and by message passing. We prove that this number precisely captures the resilience that can be achieved by…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-22 Hagit Attiya , Sweta Kumari , Noa Schiller

Preference-based Reinforcement Learning (PbRL) entails a variety of approaches for aligning models with human intent to alleviate the burden of reward engineering. However, most previous PbRL work has not investigated the robustness to…

Machine Learning · Computer Science 2025-06-17 Sara Rajaram , R. James Cotton , Fabian H. Sinz

In multiple attribute decision analysis (MADA) problems, one often needs to deal with assessment information with uncertainty. The evidential reasoning approach is one of the most effective methods to deal with such MADA problems. As kernel…

Artificial Intelligence · Computer Science 2019-03-29 Lianmeng Jiao , Xiaojiao Geng

We introduce DM-RSA (Dual Modulus RSA), a variant of the RSA cryptosystem that employs two distinct moduli symmetrically to enhance security. By leveraging the Chinese Remainder Theorem (CRT) for decryption, DM-RSA provides increased…

Cryptography and Security · Computer Science 2025-07-22 Andriamifidisoa Ramamonjy , Rufine Marius Lalasoa

Regeneration codes with exact-repair property for distributed storage systems is studied in this paper. For exact- repair problem, the achievable points of ({\alpha},{\beta}) tradeoff match with the outer bound only for minimum storage…

Information Theory · Computer Science 2015-10-08 Mehran Elyasi , Soheil Mohajer

When multiple processor cores (CPUs) and a GPU integrated together on the same chip share the off-chip DRAM, requests from the GPU can heavily interfere with requests from the CPUs, leading to low system performance and starvation of cores.…

Hardware Architecture · Computer Science 2018-05-01 Rachata Ausavarungnirun , Gabriel H. Loh , Lavanya Subramanian , Kevin Chang , Onur Mutlu

In the non-volatile memory, ensuring the security and correctness of persistent data is fundamental. However, the security and persistence issues are usually studied independently in existing work. To achieve both data security and…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-04 Pengfei Zuo , Yu Hua , Yuan Xie
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