Federated Learning of Nonlinear Temporal Dynamics with Graph Attention-based Cross-Client Interpretability
arXiv:2602.13485v1 Announce Type: new Abstract: Networks of modern industrial systems are increasingly monitored by distributed sensors, where each system comprises multiple subsystems generating high dimensional time series data. These subsystems are often interdependent, making it important to understand how temporal...
Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity
arXiv:2602.13486v1 Announce Type: new Abstract: Federated low-rank adaptation (FedLoRA) has facilitated communication-efficient and privacy-preserving fine-tuning of foundation models for downstream tasks. In practical federated learning scenarios, client heterogeneity in system resources and data distributions motivates heterogeneous LoRA ranks across clients....
TrasMuon: Trust-Region Adaptive Scaling for Orthogonalized Momentum Optimizers
arXiv:2602.13498v1 Announce Type: new Abstract: Muon-style optimizers leverage Newton-Schulz (NS) iterations to orthogonalize updates, yielding update geometries that often outperform Adam-series methods. However, this orthogonalization discards magnitude information, rendering training sensitive to step-size hyperparameters and vulnerable to high-energy bursts. To...
Singular Vectors of Attention Heads Align with Features
arXiv:2602.13524v1 Announce Type: new Abstract: Identifying feature representations in language models is a central task in mechanistic interpretability. Several recent studies have made an implicit assumption that feature representations can be inferred in some cases from singular vectors of attention...
QuaRK: A Quantum Reservoir Kernel for Time Series Learning
arXiv:2602.13531v1 Announce Type: new Abstract: Quantum reservoir computing offers a promising route for time series learning by modelling sequential data via rich quantum dynamics while the only training required happens at the level of a lightweight classical readout. However, studies...
Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series
arXiv:2602.13649v1 Announce Type: new Abstract: Time series chain (TSC) is a recently introduced concept that captures the evolving patterns in large scale time series. Informally, a time series chain is a temporally ordered set of subsequences, in which consecutive subsequences...
Optimized Certainty Equivalent Risk-Controlling Prediction Sets
arXiv:2602.13660v1 Announce Type: new Abstract: In safety-critical applications such as medical image segmentation, prediction systems must provide reliability guarantees that extend beyond conventional expected loss control. While risk-controlling prediction sets (RCPS) offer probabilistic guarantees on the expected risk, they fail...
ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical Cancer
arXiv:2602.13666v1 Announce Type: new Abstract: In complex clinical decision-making, clinicians must often track a variety of competing metrics defined by aim (ideal) and limit (strict) thresholds. Sifting through these high-dimensional tradeoffs to infer the optimal patient-specific strategy is cognitively demanding...
Optimal Regret for Policy Optimization in Contextual Bandits
arXiv:2602.13700v1 Announce Type: new Abstract: We present the first high-probability optimal regret bound for a policy optimization technique applied to the problem of stochastic contextual multi-armed bandit (CMAB) with general offline function approximation. Our algorithm is both efficient and achieves...
Near-Optimal Regret for Policy Optimization in Contextual MDPs with General Offline Function Approximation
arXiv:2602.13706v1 Announce Type: new Abstract: We introduce \texttt{OPO-CMDP}, the first policy optimization algorithm for stochastic Contextual Markov Decision Process (CMDPs) under general offline function approximation. Our approach achieves a high probability regret bound of $\widetilde{O}(H^4\sqrt{T|S||A|\log(|\mathcal{F}||\mathcal{P}|)}),$ where $S$ and $A$ denote...
HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models
arXiv:2602.13710v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models enable instruction-following embodied control, but their large compute and memory footprints hinder deployment on resource-constrained robots and edge platforms. While reducing weights to 1-bit precision through binarization can greatly improve efficiency, existing...
MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models
arXiv:2602.13783v1 Announce Type: new Abstract: While Time Series Foundation Models (TSFMs) have demonstrated exceptional performance in generalized forecasting, their performance often degrades significantly when deployed in real-world vertical domains characterized by temporal distribution shifts and domain-specific periodic structures. Current solutions...
Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation
arXiv:2602.13810v1 Announce Type: new Abstract: Learning expressive and efficient policy functions is a promising direction in reinforcement learning (RL). While flow-based policies have recently proven effective in modeling complex action distributions with a fast deterministic sampling process, they still face...
Testing For Distribution Shifts with Conditional Conformal Test Martingales
arXiv:2602.13848v1 Announce Type: new Abstract: We propose a sequential test for detecting arbitrary distribution shifts that allows conformal test martingales (CTMs) to work under a fixed, reference-conditional setting. Existing CTM detectors construct test martingales by continually growing a reference set...
sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals
arXiv:2602.13857v1 Announce Type: new Abstract: Tasks ranging from sleep staging to clinical diagnosis traditionally rely on standard polysomnography (PSG) devices, bedside monitors and wearable devices, which capture diverse nocturnal biosignals (e.g., EEG, EOG, ECG, SpO$_2$). However, heterogeneity across devices and...
A Mass-Energy Equivalence Law as E = ½ Mc2
This paper assumes that the mass and charge of a particle are independent of its speed relative to an observer. A particle of mass m and charge Q moving with its electrostatic field Eo at an angle 𝜽 to the...
The art of the circuit split: an explainer
In their petitions for review, litigants spell out – in detail – why the Supreme Court should take up their case. These petitions can cover a wide range of topics, […]The postThe art of the circuit split: an explainerappeared first...
Cart before the Horse? BSH Hausgeräte v Electrolux and Exclusive Jurisdiction over Patent Validity
In a much-anticipated judgment, the Grand Chamber of the CJEU in BSH Hausgeräte GmbH v Electrolux AP reshaped the landscape of cross-border patent litigation in the EU. The case concerned the interpretation of Article 24(4) of Regulation 1215/2012 (Brussels Ia),...
Assessing States’ Obligations under the UN Guiding Principles on Business and Human Rights Post-Brexit
Private economic actors wield unprecedented influence over the enjoyment of human rights, yet legal systems remain uneven in their regulation of corporate responsibility. Against this backdrop, this article examines a largely underexplored post-Brexit trajectory, the regulatory divergence in the implementation...
Criminalising ‘Conversion Therapy’
An increasing number of jurisdictions have introduced legal bans on so-called ‘conversion therapy’ practices. Yet significant uncertainty and disagreement persist among legal scholars, policymakers and advocates about whether criminal law is an appropriate tool in this area and, if so,...
Is the Electronic Trade Documents Act 2023 Sufficient to Promote the Uptake of Paperless Trading Systems?
In September 2023, the Electronic Trade Documents Act (ETDA) came into force in the UK. It aims to facilitate paperless trade by allowing certain trade documents in electronic form to have the same legal functionality as their paper counterparts. The...
Review of Hanna Schebesta and Kai Purnhagen, EU Food Law, Oxford, Oxford University Press, 2024, 432 pp, hb, £110.00
Anyone interested in food system reform should acknowledge the importance of EU law and learn to recognise its strengths and weaknesses, so as to fully harness its transformative potential. This is no easy task, for EU food law is a...
A Not Too Collaborative Constitution? Collaboration as Constitutional Value Versus Model
Constitutional scholarship in recent years has seen a proliferation of ‘isms’ – or the rise of constitutional ideas ‘with adjectives’. Beneath the current trend toward ‘adjectival constitutionalism’ also lie different understandings of constitutionalism as a topic, model, mode of change...
Making Rights Fundamental: The 2022 Amendment to the 1998 ILO Declaration on Fundamental Principles and Rights at Work and its Radical Implications
What makes a right fundamental, and how does it achieve this status? This article critically examines these questions through a detailed analysis of the 2022 amendment to the 1998 ILO Declaration, which recognised the right to a safe and healthy...
Warner Bros. rejects Paramount again but asks for "best and final offer"
WB board officially recommends Netflix deal but asks Paramount to increase price.
Apple is reportedly cooking up a trio of AI wearables
As the AI hardware space heats up, the iPhone maker has multiple smart products in development.
Anthropic releases Sonnet 4.6
Anthropic has released a new version of its midsized Sonnet model, keeping pace with the company's four-month update cycle.