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Overhead-free Noise-tolerant Federated Learning: A New Baseline

Machine Intelligence Research 2024年第3期21卷 526-537页

作者： Shiyi Lin Deming Zhai Feilong Zhang Junjun Jiang Xianming Liu Xiangyang Ji Department of Computer Science and Technology Harbin Institute of TechnologyHarbin150000China Department of Automation Tsinghua UniversityBeijing100084China

Federated learning (FL) is a promising decentralized machine learning approach that enables multiple distributed clients to train a model jointly while keeping their data private. However, in real-world scenarios, the supervised training data stored in local clients inevitably suffer from imperfect annotations, resulting in subjective, inconsistent and biased labels. These noisy labels can harm the collaborative aggregation process of FL by inducing inconsistent decision boundaries. Unfortunately, few attempts have been made towards noise-tolerant federated learning, with most of them relying on the strategy of transmitting overhead messages to assist noisy labels detection and correction, which increases the communication burden as well as privacy risks. In this paper, we propose a simple yet effective method for noise-tolerant FL based on the well-established co-training framework. Our method leverages the inherent discrepancy in the learning ability of the local and global models in FL, which can be regarded as two complementary views. By iteratively exchanging samples with their high confident predictions, the two models “teach each other” to suppress the influence of noisy labels. The proposed scheme enjoys the benefit of overhead cost-free and can serve as a robust and efficient baseline for noise-tolerant federated learning. Experimental results demonstrate that our method outperforms existing approaches, highlighting the superiority of our method.

关键词： Federated learning noise-label learning privacy-preserving machine learning edge intelligence distributed machine learning

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Distributed multi-target tracking with labeled multi-Bernoulli filter considering efficient label matching

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Frontiers of Information technology & Electronic Engineering 2025年第3期26卷 400-414页

作者： Changwen DING Chuntao SHAO Siteng ZHOU Di ZHOU Runle DU Jiaqi LIU School of Astronautics Harbin Institute of TechnologyHarbin 150001China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing 100076China

We propose a distributed labeled multi-Bernoulli(LMB)filter based on an efficient label matching *** distributed LMB filter fusion has the premise that the labels among local densities have already been ***,considering that the label space of each local posterior is independent,such a premise is not practical in many *** achieve distributed fusion practically,we propose an efficient label matching method derived from the divergence of arithmetic average(AA)mechanism,and subsequently label-wise LMB filter fusion is performed according to the matching *** with existing label matching methods,this proposed method shows higher performance,especially in low detection probability ***,to guarantee the consistency and completeness of the fusion outcome,the overall fusion procedure is designed into the following four stages:pre-fusion,label determination,posterior complement,and uniqueness *** performance of the proposed label matching distributed LMB filter fusion is demonstrated in a challenging nonlinear bearings-only multi-target tracking(MTT)scenario.

关键词： Distributed multi-sensor multi-target tracking Labeled multi-Bernoulli filter Arithmetic average fusion Label matching

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Dual-feedback healing mechanism redefining anti-oxidation coatings in fiber-reinforced composites

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Journal of Advanced Ceramics 2024年第10期13卷 1643-1654页

作者： Yuanshuai Wang Xinyu Wang Pianpian Zhang Anqi Lun Yuewei Li Yi Wang Lizhe Xing Zhengyang Fu Ya’nan Yang Long Xia School of Materials Science and Engineering Harbin Institute of Technology(Weihai)Weihai 264209China

This study introduces a pioneering design concept termed the“dual-feedback healing mechanism”,which investigates the relationship between oxidation products and protective ***,it focuses on channeling oxidation products generated at exposed cracks in the substrate to interact with the antioxidant coatings,enabling a self-repair mechanism for ***/SiBN was chosen as the ceramic matrix,while the Si-O-Al system served as the antioxidant *** dynamic process of obtaining Si-O-Al(SOAC)coating involving the pyrolysis of organic precursors and the dual-feedback healing mechanism were systematically *** findings indicate that when the temperature surpasses 1150℃,the exposed BN fibers at the cracks are oxidized,transforming into B_(2)O_(3)(g).Subsequently,B_(2)O_(3)(g)reacts with SiO_(2),forming a SiBO *** mixture effectively diminishes the viscosity of the coating,enabling it to flow and form a fresh protective layer that effectively blocks O_(2) ***,after oxidation at 1500℃,the coated samples experience a mere 3%weight *** technology emphasizes the interconnectivity during material transformation,utilizing matrix oxidation products as a driving force for self-healing of the *** approach achieves intelligent-like,targeted closure of oxygen pathways,thereby pioneering a novel concept and direction for the advancement of antioxidant ***,this approach not only enhances our understanding of the fundamental nature of“self-healing”but also holds significant potential in the development of reparable antioxidant coatings.

关键词： antioxidant coating dual-feedback BNf/SiBN composite Si-O-Al coating self-healing

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A Local Differential Privacy Trajectory Protection Method Based on Temporal and Spatial Restrictions for Staying Detection

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Tsinghua science and technology 2024年第2期29卷 617-633页

作者： Weiqi Zhang Zhenzhen Xie Akshita Maradapu Vera Venkata Sai Qasim Zia Zaobo He Guisheng Yin College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001China School of Computer Science and Technology Shandong UniversityQingdao 266237China Department of Computer Science Georgia State UniversityAtlantaGA 30303USA College of Information Science and Technology Jinan UniversityGuangzhou 510632China

The widespread availability of GPS has opened up a whole new market that provides a plethora of location-based ***-based social networks have become very popular as they provide end users like us with several such services utilizing GPS through our ***,when users utilize these services,they inevitably expose personal information such as their ID and sensitive location to the *** to untrustworthy servers and malicious attackers with colossal background knowledge,users'personal information is at risk on these ***,many privacy-preserving solutions for protecting trajectories have significantly decreased utility after *** have come up with a new trajectory privacy protection solution that contraposes the area of interest for ***,Staying Points Detection Method based on Temporal-Spatial Restrictions(SPDM-TSR)is an interest area mining method based on temporal-spatial restrictions,which can clearly distinguish between staying and moving ***,our privacy protection mechanism focuses on the user's areas of interest rather than the entire ***,our proposed mechanism does not rely on third-party service providers and the attackers'background knowledge *** test our models on real datasets,and the results indicate that our proposed algorithm can provide a high standard privacy guarantee as well as data availability.

关键词： local-differential privacy stay points detection trajectory data areas of interest temporal-spatial clustering

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Introduction to the Special Issue on the Bottleneck of Blockchain Techniques Scalability,Security and Privacy Protection

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computer Modeling in Engineering & sciences 2024年第12期141卷 1933-1937页

作者： Shen Su Daojing He Neeraj Kumar Cyberspace Institute of Advanced Technology Guangzhou UniversityGuangzhou510006China School of Computer Science and Technology Harbin Institute of Technology(Shenzhen)Shenzhen518055China Department of Computer Science and Engineering Thapar Institute of Engineering and TechnologyPatiala147004India

Blockchain technology has been extensively studied over the past decade as a foundation for decentralized information-sharing platforms due to its promising *** the success of existing blockchain architectures like Bitcoin,Ethereum,Filecoin,Hyperledger Fabric,BCOS,and BCS,current blockchain applications are still quite *** struggles with scenarios requiring high-speed transactions(e.g.,online markets)or large data storage(e.g.,video services)due to consensus efficiency *** restrictions pose risks to investors in blockchain-based economic systems(e.g.,DeFi),deterring current and potential *** protection challenges make it difficult to involve sensitive data in blockchain applications.

关键词： services Ether limitations

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First-principles calculations of high pressure and temperature properties of Fe_(7)C_(3)

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Chinese Physics B 2023年第7期32卷 625-630页

作者：范莉莉刘勋高畅刘中利李艳丽黄海军 School of Science Wuhan University of TechnologyWuhan 430070China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China

Eckstrom-adcock iron carbide(Fe_(7)C_(3))is considered to be the main constituent of the Earth’s inner core due to its low shear wave ***,the crystal structure of Fe_(7)C_(3)remains controversial and its thermoelastic properties are not well constrained at high temperature and *** on the first-principles simulation method,we calculate the relative phase stability,equation of state,and sound velocity of Fe_(7)C_(3)under core *** results indicate that the orthorhombic phase of Fe_(7)C_(3)is stable under the core *** Fe_(7)C_(3)does reproduce the low shear wave velocity and high Poisson’s ratio of the inner core,its compressional wave velocity and density are 12%higher and 6%lower than those observed in seismic data,***,we argue that carbon alone cannot completely explain the thermal properties of the inner core and the inclusion of other light elements may be required.

关键词： iron carbide phase stability thermoelastic properties sound velocities inner core

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Simulation of space heavy-ion induced primary knock-on atoms in bipolar devices

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Chinese Physics B 2024年第1期33卷 573-580页

作者：张彬姜昊徐晓东应涛刘中利李伟奇杨剑群李兴冀 School of Physics Harbin Institute of TechnologyHarbin 150001China School of Material Science and Engineering Harbin Institute of TechnologyHarbin 150001China State Key Laboratory of Intense Pulsed Radiation Simulation and Effect Xi'an 710024China

Bipolar junction transistors(BJTs) are often used in spacecraft due to their excellent working characteristics. However,the complex space radiation environment induces primary knock-on atoms(PKAs) in BJTs through collisions, resulting in hard-to-recover displacement damage and affecting the performance of electronic components. In this paper, the properties of PKAs induced by typical space heavy ions(C, N, O, Fe) in BJTs are investigated using Monte Carlo simulations. The simulated results show that the energy spectrum of ion-induced PKAs is primarily concentrated in the low-energy range(17eV–100eV) and displays similar features across all tested ions. The PKAs induced by the collision of energetic ions have large forward scattering angles, mainly around 88°. Moreover, the distribution of PKAs within a transistor as a function of depth displays a peak characteristic, and the peak position is linearly proportional to the incident energy at a certain energy range. These simulation outcomes serve as crucial theoretical support for long-term semiconductor material defect evolution and ground testing of semiconductor devices.

关键词： Monte Carlo simulation primary knock-on atom(PKA) space-heavy ion radiation damage

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Electronic structure regulation of Fe-doped Ni2P nanocrystals towards durable electrocatalytic oxygen evolution

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Rare Metals 2024年第12期43卷 6405-6415页

作者： Ya Liu Xing Cao Jia-Jia Liu Mei-Sheng Han Gao-Wei Zhang Yu-Bin Zhao Huan-Hui Chen Liang Yu Jun-Rong Zeng Zhi-Kai Cheng Liu-Biao Zhong Li-Juan Song Ye-Jun Qiu Shenzhen Engineering Lab of Flexible Transparent Conductive Films School of Materials Science and EngineeringHarbin Institute of TechnologyShenzhen518055China School of Physics Harbin Institute of TechnologyHarbin150001China Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen518055China School of Science Harbin Institute of TechnologyShenzhen 518055China Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Harbin Institute of TechnologyShenzhen518055China

The inherent electrocatalytic potential of transition metal phosphides(TMPs)for oxygen evolution is influenced by the reduced efficiency of electron transfer resulting from the interaction between electronegative phosphorus atoms and transition ***,we introduce Fe into Ni_(2)P nanocrystals by thermal injection synthesis method,and anchor them on nickel foam(NF)by facile spraying to prepare self-supporting oxygen evolution reaction(OER)***,the optimized electrode of Ni_(2)P-Fe-2/NF demonstrates low overpotentials of 212 mV with 10 mA·cm^(-2)and a 0.9%decay within300 h test of 50 mA·cm^(-2).Notably,when electrode size was expanded to 600 cm^(2)and applied to a larger electrolyzer,its 9 h decay rate at 6 A current was only 1.69%.Characterization results show that Fe doped NiOOH is generated during OER reaction as actual catalyst,Results from density functional theory(DFT)computations suggest that Fe doping shifts NiOOH d-band center to Fermi level,lowering critical *OOH intermediates formation energy barrier during the OER *** findings inform the large-scale industrial application of TMPs as robust electrocatalysts.

关键词： Electronic structure regulation Fe doping Colloidal nanocrystals Ni2P Oxygen evolution reaction

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Ambient-Pressure Anisotropic Single-Gap Superconductivity in La-Trapped B_(26)Cages with Superior Hardness

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Chinese Physics Letters 2025年第1期42卷 177-191页

作者： Haoqi Chen Yushan Tang Haowen Jiang Xuehui Jiang Jialin Wang Chengyao Zhang Defang Duan Yanbin Ma Jing Dong School of Science Harbin University of Science and TechnologyHarbin 150080China School of Science Harbin Institute of Technology(Shenzhen)Shenzhen 518055China College of Physics Jilin UniversityChangchun 130012China School of Public Health Mudanjiang Medical UniversityMudanjiang 157011China

Recently,a breakthrough in the high-pressure synthesis of sp^(3)-bonded clathrate-like R-3m-L_(a)B_(8)featuring Latrapped B_(26)cages was *** the superconducting critical temperature(T_(c))and Vickers hardness(H_(v))of L_(a)B_(8)were estimated,the anisotropic superconductivity and superconducting gap nature remain *** stability of pure B_(26)cages under ambient conditions is of interest for exploring the B_(26)hardness and the role of La atoms in the L_(a)B_(8)*** resolving the Allen–Dynes modified Mc Millan equation and the anisotropic Eliashberg equations,it was found that L_(a)B_(8)exhibits anisotropic single-gap superconductivity with T_(c)=19.0~26.5 K,and the superconducting gap anisotropic ratio reaches 48.50%at 5 *** significantly,our work fundamentally validated the coupling of B-2p orbitals with the optical double-degenerate E_(g)phonon modes and A_(g)phonon mode from a novel *** H_(v)of B_(26)cages was determined to be 18.6 GPa,which is lower than that of La-trapped B_(26)cages(i.e.,L_(a)B_(8)),indicating that La acts as a hardness enhancer for L_(a)B_(8).

关键词： anisotropic breakthrough

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SSD-MIR: Towards Medical Image Restoration With Structured Visual State Space Duality

SSD-MIR: Towards Medical Image Restoration With Structured V...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Chen, Binghong Zhang, Zhengqian Wang, Haiyu Yu, Tianshuo Wang, Dong Wang, Jialiang Ren, Junjun Liu, Yongzhuang Jiang, Wei Harbin Institute of Technology School of Mathematics School of Computer Science and Technology Harbin China Harbin Institute of Technology Department of Fundamental Education Harbin China University of Glasgow James Watt School of Engineering Glasgow United Kingdom Harbin Institute of Technology School of Computer Science and Technology Harbin China Harbin Institute of Technology School of Computer Science and Technology School of Mathematics Harbin China

ISBN: (纸本)9798350386226

In the field of Medical image processing, Transformers and CNNs bring filter-based local sensing and attention-based global modelling, which strengthened their dominant position. However, the scales required in different applications vary, and improper usage or selection on models can lead to performance decrease, resulting in more serious consequences in downstream tasks. The recent advanced Structured State Space Model has shown its potential as a baseline model, and is further proved to maintaining implicit duality with the attention mechanism, The corresponding model Mamba2 shows its long-range modelling ability with optimized long-term memory and linear computational *** this paper, we propose SSD-MIR, a novel architecture leveraging the advantages of state space duality mechanism. SSD-MIR includes three parts: input projection and feature representation, deep feature transformation, output projection and feature inversion. With the three components sequentially connected to form our model, it is able to model long-range dependencies and learn the mapping between low-quality input and high-quality output simultaneously. In the main deep feature transformation part, depthwise convolution is used for additional feature mapping as an alternative of 1D causal convolution, and an optimized quad-direction scanning mechanism is implemented to form the overall 2D state space dual module. The corresponding wrapper module is built in MetaFormer style with the usage of residual connection and LayerNorm. We perform extensive experiments on multiple medical image restoration tasks, and the results are superior to the state-of-the-arts, demonstrating the strength and efficacy of our model. © 2024 IEEE.

关键词： Mapping

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