Federated Learning on Heterogeneous Data via Adaptive Self-Distillation

Federated Learning (FL) is a machine learning paradigm that enables clients to jointly train a global model by aggregating the locally trained models without sharing any local training data. In practice, there can often be substantial heterogeneity (e.g., class imbalance) across the local data distributions observed by each of these clients. Under such non-iid data distributions across clients, FL suffers from the 'client-drift' problem where every client converges to its own local optimum. This results in slower convergence and poor performance of the aggregated model. To address this limitation, we propose a novel regularization technique based on adaptive self-distillation (ASD) for training models on the client side. Our regularization scheme adaptively adjusts to the client's training data based on: (1) the closeness of the local model's predictions with that of the global model and (2) the client's label distribution. The proposed regularization can be easily integrated atop existing, state-of-the-art FL algorithms leading to a further boost in the performance of these off-the-shelf methods. We demonstrate the efficacy of our proposed FL approach through extensive experiments on multiple real-world benchmarks (including datasets with common corruptions and perturbations) and show substantial gains in performance over the state-of-the-art methods

Global injury morbidity and mortality from 1990 to 2017 : results from the Global Burden of Disease Study 2017

Correction:Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.Peer reviewe

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM

Construction of New Hadamard Matrix Forms to Generate and Involutory MDS Matrices over for Lightweight Cryptography

In this paper, the authors proposed a new Hadamard matrix form which gives direct construction of 4×4 involutory MDS matrices and a Hybrid construction (Combination of search based methods and direct construction) of 8×8 involutory MDS matrices over F2m for lightweight cryptography. They give algorithm for computing branch number of involutory matrices over F2m and also improve computational complexity in case of Hadamard matrix form over F28 . Comparative study based on XOR count which is a measure for low implementation cost in hardware was done to show that our constructed MDS matrices has low XOR count compared to existing MDS matrices in literature

Effect of Different Levels of Arbuscular Mycorrhiza and Phosphorus on Productivity and Profitability of Barley (Hordeum vulgare L.)

A field experiment was carried out at Soil Conservation and Water Management Farm of Chandra Shekhar Azad University of Agriculture and Technology, Kanpur during rabi season, in 2019-20 to study the effect of different levels of Arbuscular Mycorrhiza (AM) and phosphorus on yield attributes, yield and economics of barley (Hordeum vulgare L.). The experiment was laid out in Factorial Randomized Block Design (FRBD) with 3 replications. The treatments were consisted of 4 levels of AM fungi inoculation i.e., control, AM @ 8 kg ha-1, AM @ 12 kg ha-1 and AM @ 16 kg ha-1 along with 4 phosphorus fertility level i.e., control, phosphorus @ 20 kg ha-1, phosphorus @ 30 kg ha-1 and phosphorus @ 40 kg ha-1 were tested in the experiment. The results indicated that the AM fungi inoculation level @ 16 kg ha-1 showed the highest yield attributes, yield and economics viz. number of productive tillers (9.03 m-2), number of grain ear-1 (9.16), test weight (45.36g), grain yield (28.13 q ha-1), gross return (INR 45774.20 ha-1), net return (INR 18143.04 ha-1 ) and B:C ratio (1.66) followed by the AM fungi inoculation level @ 12 kg ha-1 while it was observed minimum under control. However, the phosphorus fertility level @ 40 kg ha-1 gave better yield attributes, yield and economics viz., number of productive tillers (9.16 m-1), number of grain ear-1 (59.36), test weight (45.09g), grain yield (28.79), gross return (INR 47377.60 ha-1), net return (INR 18229.50 ha-1) and B:C ratio (1.63) followed by the phosphorus fertility level @ 30 kg ha-1 while observed minimum under control. On the basis of observed results, farmers are advised to raise barley with AM fungi inoculation level @ 16 kg ha-1 along with application of phosphorus @ 40 kg ha-1 for best growth, yield, economics and soil health

Performance Evaluation for Ultra-Lightweight Epoxy-Based Bipolar Plate Production with Cycle Time Reduction of Reactive Molding Process

The commercial viability of fuel cells for vehicle application has been examined in the context of lightweight material options, as well as in combination with improvements in fuel cell powertrain. Investigation into ultra-lightweight bipolar plates (BPs), the main component in terms of the weight effect, is of great importance to enhance energy efficiency. This research aims to fabricate a layered carbon fiber/epoxy composite structure for BPs. Two types of carbon fillers (COOH-MWCNT and COOH-GNP) reinforced with woven carbon fiber sheets (WCFS) have been utilized. The conceptual idea is to reduce molding cycle time by improving the structural, electrical, and mechanical properties of BPs. Reducing the reactive molding cycle time is required for commercial production possibility. The desired crosslink density of 97%, observed at reactive molding time, was reduced by 83% at 140 °C processing temperature. The as-fabricated BPs demonstrate excellent electrical conductivity and mechanical strength that achieved the DOE standard. Under actual fuel cell operation, the as-fabricated BPs show superior performance to commercial furan-based composite BPs in terms of the cell potential and maximum power. This research demonstrates the practical and straightforward way to produce high-performance and reliable BPs with a rapid production rate for actual PEMFC utilization

Effect of an herb root extract, herbal dentifrice and synthetic dentifrice on human salivary amylase

Background: Salivary amylase is an enzyme, which plays a vital role in formation of dental plaque. It has the ability to bind on the bacterial surfaces and to hydrolyze starch, giving rise to products that are transformed into acids leading to dental caries. Suppression of salivary amylase activity can lead to decrease in risk of dental caries and plaque associated periodontal diseases. The aim of this study was to evaluate the effect of an herb, Spilanthes calva (in form of a test dentifrice) on human salivary amylase activity and to compare it with other dentifrices. Materials and Methods: A total of 80 subjects of age 18-35 years were randomly selected and divided equally into 4 groups. Group 1 subjects were assigned to use Test Dentifrice (with S. calva root extract), while Group 2, Group 3, and Group 4 subjects were assigned to use Herbal Dentifrice (Arodent™ ), Synthetic Dentifrice (Colgate ® ), and Control Dentifrice respectively. Salivary amylase activity was determined by Bernfeld method in each group, before and after using the given dentifrices. Results: Maximum inhibition of salivary amylase activity was found in the group using test dentifrice as compared to others. Conclusion: The present study indicates that, the root extract of S. calva possess significant inhibitory activity for salivary amylase. Use of S. calva root extract will provide a wider protection against different pathogenic oral microflora. Use of this extract singly or in combination is strongly recommended in the dentifrice formulations

A Numerical Investigation of an Artificially Roughened Solar Air Heater

Solar air heating devices have been employed in a wide range of industrial and home applications for solar energy conversion and recovery. It is a useful technique for increasing the rate of heat transfer by artificially creating repetitive roughness on the absorbing surface in the form of semicircular ribs. A thermo-hydraulic performance analysis for a fully developed turbulent flow through rib-roughened solar air heater (SAH) is presented in this article by employing computational fluid dynamics. Both 2-dimensional geometrical modeling and numerical solutions were performed in the finite volume package ANSYS FLUENT. The renormalization-group (RNG) k-ε turbulence model was used, as it is suitable for low Reynolds number (Re) turbulent flows. A thermo-hydraulic performance analysis of an SAH was carried out for a ranging Re, 3800–18,000 (6 sets); relative roughness pitch (RRP), 5–25 (12 sets); relative roughness height (RRH), 0.03–0.06 (3 sets); and heat flux, 1000 W/m2. The numerical analysis revealed that with an RRP of 5 and an RRH of 0.06, the roughened duct produces the highest augmentation in average Nur in the order of 2.76 times that of a plain duct at an Re of 18,000. With an RRP = 10 and RRH = 0.06, the roughened duct was found to provide the most optimum thermo-hydraulic performance parameter (THPP). The THPP was determined to have a maximum value of 1.98 when the Re is equal to 15,000. It was found that semi-circular ribs which have a rib pitch = 20 mm and a rib height = 2 mm can be applied in an SAH to enhance heat transfer