Expertini Research Research

Browse Research Papers

2,931+ open-access research outputs.

✕ Clear
🔍 nir friedman 📂 Computer Science 📄 Preprint
Showing 2931 results for "nir friedman" in Computer Science · Preprint
Computer Science Preprint PDF DOI

Perfectly Private Over-the-Air Computation

Shudi Weng, Ming Xiao, Mikael Skoglund · 2026

This paper studies a key research question: how to achieve perfect privacy in over-the-air computation (AirComp)? The problem is particularly intriguing due to a dilemma. Real-field operations can ens…

Read Paper →
Computer Science Preprint PDF DOI

Cross-lingual Comparison of Research Funding Projects with Multilingual Sentence-BERT: Evidence from KAKENHI, NIH, NSF, and UKRI

Miki Kimura-Ida · 2026

Cross-national comparison of research funding projects is increasingly important for science policy and strategic planning, but language differences remain a major obstacle. In particular, KAKENHI pro…

Read Paper →
Computer Science Preprint PDF DOI

Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning

Paul Zheng, Yao Zhu, Xiaopeng Yuan, Yulin Hu, Anke Schmeink · 2026

In the Internet-of-Things (IoT) era, efficient functionality integration is essential to address the growing demands of communication, computation, and sensing. Signal-level integrated sensing, comput…

Read Paper →
Computer Science Preprint PDF DOI

Covariance-Aware Demapping on Fourier-Curve Constellations

Bin Han, Muxia Sun, H. Vincent Poor, Hans D. Schotten · 2026

Injecting artificial noise (AN) along the tangent space of a curved constellation makes each transmitted symbol induce a Gaussian observation with a symbol-dependent rank-one covariance, so the matche…

Read Paper →
Computer Science Preprint PDF DOI

Multi-Plane HyperX: A Low-Latency and Cost-Effective Network for Large-Scale AI and HPC Systems

Ziyu Wang, Fei Lei, Dezun Dong · 2026

Multi-plane architectures have become increasingly prevalent in the Fat-Tree networks of AI data centers. By leveraging multiple ports on a single network interface card (NIC) or multiple NICs within …

Read Paper →
Computer Science Preprint PDF DOI

RANalyzer: Automated Continuous RAN Software Evaluation and Regression Analysis

Ravis Shirkhani, Reshma Prasad, Leonardo Bonati, Tommaso Melodia, Michele Polese · 2026

Software-driven O-RAN architectures enable rapid innovation through frequent, independent updates to virtualized components. However, attributing performance variations to specific software changes is…

Read Paper →
Computer Science Preprint PDF DOI

Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems

Yan-Martin Tamm, Anna Aljanaki · 2026

Over the years, Music Information Retrieval (MIR) research community has released various models pretrained on large amounts of music data. Transfer learning showcases the proven effectiveness of pret…

Read Paper →
Computer Science Preprint PDF DOI

The Decay of Impact with Network Distance in Linear Diffusion Processes

Alexander Murray-Watters, Cheng Wang, John R. Hipp, Cynthia Lakon, Carter T. Butts · 2026

Many processes related to status, power, and influence within social networks have been modeled using forced linear diffusion models; examples include the highly successful Friedkin-Johnsen model of s…

Read Paper →
Computer Science Preprint PDF DOI

OCC: Physical-Layer Assisted Congestion Control for Real-Time Communications

Yufan Zhuang, Zili Meng, Zehong Lin, Jun Zhang · 2026

Real-time communications (RTC) is a core technology for emerging applications in 6G, such as cloud gaming, teleoperation, and extended reality (XR), which require consistently low latency and high bit…

Read Paper →
Computer Science Preprint PDF DOI

Verifying Machine Learning Interpretability Requirements through Provenance

Lynn Vonderhaar, Juan Couder, Daryela Cisneros, Omar Ochoa · 2026

Machine Learning (ML) Engineering is a growing field that necessitates an increase in the rigor of ML development. It draws many ideas from software engineering and more specifically, from requirement…

Read Paper →
Computer Science Preprint PDF DOI

Differentially Private De-identification of Dutch Clinical Notes: A Comparative Evaluation

Michele Miranda, Xinlan Yan, Nishant Mishra, Rachel Murphy, Ameen Abu-Hanna, Sebastien Bratieres, Iacer Calixto · 2026

Protecting patient privacy in clinical narratives is essential for enabling secondary use of healthcare data under regulations such as GDPR and HIPAA. While manual de-identification remains the gold s…

Read Paper →
Computer Science Preprint PDF DOI

Temporal UI State Inconsistency in Desktop GUI Agents: Formalizing and Defending Against TOCTOU Attacks on Computer-Use Agents

Wenpeng Xu · 2026

GUI agents that control desktop computers via screenshot-and-click loops introduce a new class of vulnerability: the observation-to-action gap (mean 6.51 s on real OSWorld workloads) creates a Time-Of…

Read Paper →
Computer Science Preprint PDF DOI

UAVs as Dynamic Nodes in Communication Networks

Riddhi Apte, Shubhada Gadgil, Gaurav Kasbekar, Rushikesh Patil, Prasanna Chaporkar · 2026

Driven by the demands of 5G/Beyond 5G and 6G networks, Unmanned Aerial Vehicles (UAVs) have surfaced in critical roles for aerial communications. In the present survey, we explore the multi-mode roles…

Read Paper →
Computer Science Preprint PDF DOI

Predictive Sectorization and Bayesian Optimized Consensus for Admission Control in Autonomous Airspace Operations

Aditya Dhodapkar, Avery Smidt, Aaron Verkleeren, Stacy Patterson, Carlos A. Varela · 2026

Conventional air traffic control divides airspace into specific regions, creating a scaling bottleneck as traffic grows. Choosing how to partition airspace is not straightforward because grid size aff…

Read Paper →
Computer Science Preprint PDF DOI

Temporal Contrastive Decoding: A Training-Free Method for Large Audio-Language Models

Yanda Li, Yuhan Liu, Zirui Song, Yunchao Wei, Martin Takac, Salem Lahlou · 2026

Large audio-language models (LALMs) generalize across speech, sound, and music, but unified decoders can exhibit a \emph{temporal smoothing bias}: transient acoustic cues may be underutilized in favor…

Read Paper →
Computer Science Preprint PDF DOI

Look One Step Ahead: Forward-Looking Incentive Design with Strategic Privacy for Proactive Service Provisioning over Air-Ground Integrated Edge Networks

Sicheng Wu, Minghui Liwang, Yangyang Gao, Deqing Wang, Wenbo Zhu, Yiguang Hong, Wei Ni, Seyyedali Hosseinalipour · 2026

In air-ground integrated networks (AGINs), unmanned aerial vehicles (UAVs) provide on-demand edge services to ground vehicles. Realizing this vision requires carefully designed incentives to coordinat…

Read Paper →
Computer Science Preprint PDF DOI

Embedded DNA Inference in In-Body Nanonetworks: Detection, Delay, and Communication Trade-Offs

Stefan Fischer · 2026

In-body molecular nanonetworks promise early abnormality detection close to the source of biochemical events, but their communication capabilities are severely constrained by slow diffusion-based sign…

Read Paper →
Computer Science Preprint PDF DOI

Sorting under Partial Information with Optimal Preprocessing Time via Unified Bound Heaps

Daniel Rutschmann · 2026

In 1972, Fredman proposes the problem of sorting under partial information: preprocess a directed acyclic graph $G$ with vertex set $X$ so that you can sort $X$ in $O(\log e(G))$ time, where $e(G)$ is…

Read Paper →
Computer Science Preprint PDF DOI

On Secure Gradient Coding with Uncoded Groupwise Keys

Xudong You, Kai Wan, Xiang Zhang, Wenbo Huang, Robert Caiming Qiu, Giuseppe Caire · 2026

This paper considers a new secure gradient coding problem with uncoded groupwise keys, formalized as a (K, N, N_r, M, S) secure gradient coding model, where a user aims to compute the sum of the gradi…

Read Paper →
Computer Science Preprint PDF DOI

Three Birds, One Stone: Solving the Communication-Memory-Privacy Trilemma in LLM Fine-tuning Over Wireless Networks with Zeroth-Order Optimization

Zhijie Cai, Yuhao Zheng, Haolong Chen, Dongzhu Liu, Bin Wang, Guangxu Zhu · 2026

Federated Learning (FL) offers a promising pathway for collaboratively fine-tuning Large Language Models (LLMs) at the edge; however, this paradigm faces a critical bottleneck: the prohibitive communi…

Read Paper →
Page 1 of 147 Next →