Tootfinder

Raiders bring back former 1st-round pick after WR requests trade https://www.reviewjournal.com/sports/raiders/raiders-bring-back-former-1st-round-pick-after-wr-requests-trade-3429763/

Polynomial-time Extraction of Entanglement Resources
Si-Yi Chen, Angela Sara Cacciapuoti, Marcello Caleffi
https://arxiv.org/abs/2508.18024 https://arxiv.o…

Polynomial-time Extraction of Entanglement Resources
The extraction of EPR pairs and n-qubits GHZ states among remote nodes in quantum networks constitutes the resource primitives for end-to-end and on-demand communications. However, the Bell-VM problem, which determines whether a given graph state can be transformed into a set of Bell pairs on specific vertices (not necessarily remote), is known to be NP-complete. In this paper, we extend this problem, not only by focusing on nodes remote within generic graph states, but also by determining the …

🇺🇦 #NowPlaying on BBCRadio3's #TrainTracks
Pete Seeger:
🎵 She'll Be Coming 'Round the Mountain
#PeteSeeger
https://open.spotify.com/track/3nPHiOOiBy9z5lXnO686Vv

Adaptive Divide and Conquer with Two Rounds of Communication
Niladri Kal, Botond Szab\'o, Rajarshi Guhaniyogi, Natesh Pillai, Debdeep Pati
https://arxiv.org/abs/2508.17073 h…

Adaptive Divide and Conquer with Two Rounds of Communication
We introduce a two-round adaptive communication strategy that enables rate-optimal estimation in the white noise model without requiring prior knowledge of the underlying smoothness. In the first round, local machines send summary statistics using $(\log_2(n))^2$ bits to enable the central machine to select the tuning parameters of the procedure. In the second round, another set of statistics are transmitted using optimal number of bits, enabling the central machine to aggregate and produce a f…

Visio-Verbal Teleimpedance Interface: Enabling Semi-Autonomous Control of Physical Interaction via Eye Tracking and Speech
Henk H. A. Jekel, Alejandro D\'iaz Rosales, Luka Peternel
https://arxiv.org/abs/2508.20037

Visio-Verbal Teleimpedance Interface: Enabling Semi-Autonomous Control of Physical Interaction via Eye Tracking and Speech
The paper presents a visio-verbal teleimpedance interface for commanding 3D stiffness ellipsoids to the remote robot with a combination of the operator's gaze and verbal interaction. The gaze is detected by an eye-tracker, allowing the system to understand the context in terms of what the operator is currently looking at in the scene. Along with verbal interaction, a Visual Language Model (VLM) processes this information, enabling the operator to communicate their intended action or provide cor…

Pareto-optimal Tradeoffs Between Communication and Computation with Flexible Gradient Tracking
Yan Huang, Jinming Xu, Li Chai, Jiming Chen, Karl H. Johansson
https://arxiv.org/abs/2509.18129

Communications to Circulations: 3D Wind Field Retrieval and Real-Time Prediction Using 5G GNSS Signals and Deep Learning
Yuchen Ye, Hong Liang, Chaoxia Yuan, Mingyu Li, Aoqi Zhou, Chunqing Shang, Hua Cai, Peixi Liu, Kezuan Wang, Yifeng Zheng
https://arxiv.org/abs/2509.16068

Communications to Circulations: 3D Wind Field Retrieval and Real-Time Prediction Using 5G GNSS Signals and Deep Learning
Accurate atmospheric wind field information is crucial for various applications, including weather forecasting, aviation safety, and disaster risk reduction. However, obtaining high spatiotemporal resolution wind data remains challenging due to limitations in traditional in-situ observations and remote sensing techniques, as well as the computational expense and biases of numerical weather prediction (NWP) models. This paper introduces G-WindCast, a novel deep learning framework that leverages …

Series B, Episode 13 - Star One
VILA: [On communicator] Avon.
AVON: Well?
VILA: [On communicator] There's no response. What's going on, where are they?
AVON: Inside. It must be shielded.
VILA: [On communicator] Do you want to come up?
AVON: No.
https://blake.torpidity.net/m/213/285

FairEquityFL -- A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks
Fahmida Islam, Adnan Mahmood, Noorain Mukhtiar, Kasun Eranda Wijethilake, Quan Z. Sheng
https://arxiv.org/abs/2509.20193

FairEquityFL -- A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks
Federated Learning (FL) has been extensively employed for a number of applications in machine learning, i.e., primarily owing to its privacy preserving nature and efficiency in mitigating the communication overhead. Internet of Vehicles (IoV) is one of the promising applications, wherein FL can be utilized to train a model more efficiently. Since only a subset of the clients can participate in each FL training round, challenges arise pertinent to fairness in the client selection process. Over t…