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Efficient parameter synchronization for Peer-to-Peer Distributed Learning With Selective Multicast

IEEE TRANSACTIONS ON SERVICES COMPUTING 2025年第1期18卷 156-168页

作者： Luo, Shouxi Fan, Pingzhi Li, Ke Xing, Huanlai Luo, Long Yu, Hongfang Southwest Jiaotong Univ Sch Comp & Artificial Intelligence Chengdu 611756 Peoples R China Southwest Jiaotong Univ CSNMT Int Cooperat Res Ctr Key Lab Informat Coding & Transmiss Chengdu 611756 Peoples R China Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Peoples R China

Recent advances in distributed machine learning show theoretically and empirically that, for many models, provided that workers will eventually participate in the synchronizations, i) the training still converges, even if only p workers take part in each round of synchronization, and ii) a larger p generally leads to a faster rate of convergence. These findings shed light on eliminating the bottleneck effects of parameter synchronization in large-scale data-parallel distributed training and have motivated several optimization designs. In this paper, we focus on optimizing the parameter synchronization for peer-to-peer distributed learning, where workers broadcast or multicast their updated parameters to others for synchronization, and propose SELMCAST, a suite of expressive and efficient multicast receiver selection algorithms, to achieve the goal. Compared with the state-of-the-art (SOTA) design, which randomly selects exactly p receivers for each worker's multicast in a bandwidth-agnostic way, SELMCAST chooses receivers based on the global view of their available bandwidth and loads, yielding two advantages, i.e., accelerated parameter synchronization for higher utilization of computing resources and enlarged average p values for faster convergence. Comprehensive evaluations show that SELMCAST is efficient for both peer-to-peer Bulk Synchronous Parallel (BSP) and Stale Synchronous Parallel (SSP) distributed training, outperforming the SOTA solution significantly.

关键词： Training synchronization Receivers Peer-to-peer computing Convergence Distance learning Computer aided instruction Bandwidth Optimization Multicast algorithms Distributed learning parameter synchronization receiver selection

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Fast parameter synchronization for Distributed Learning with Selective Multicast

Fast Parameter Synchronization for Distributed Learning with...

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IEEE International Conference on Communications (ICC)

作者： Luo, Shouxi Fan, Pingzhi Li, Ke Xing, Huanlai Luo, Long Yu, Hongfang Southwest Jiaotong Univ Chengdu Peoples R China Univ Elect Sci & Technol China Chengdu Peoples R China

ISBN: (数字)9781538683477

ISBN: (纸本)9781538683477

Recent advances in distributed machine learning show theoretically and empirically that, for many models, provided workers would participate in the synchronizations eventually, 8) the training still converges, even if only ? workers take part in each round of synchronization, and 88) a larger ? generally leads to a faster rate of convergence. These findings shed light on eliminating the bottleneck effects of parameter synchronization in large-scale data-parallel distributed training, having motivated several optimization designs. In this paper, we focus on optimizing the parameter synchronization for peer-to-peer distributed learning, in which workers generally broadcast or multicast their updated parameters to others for synchronization, and propose SELMCAST, an expressive and Pareto-optimal multicast receiver selection algorithm, to achieve the goal. Compared with the state-of-the-art design that randomly selects exactly ? receivers for each worker's multicast in a bandwidth-agnostic way, SELMCAST chooses receivers based on the global view of their available bandwidth and loads, yielding two advantages. Firstly, it could optimize the bottleneck sending rate, thus cutting down the time cost of parameter synchronization. Secondly, when more than ? receivers are with sufficient bandwidth, they would be selected as many as possible, bringing benefits to the convergence of training. Extensive evaluations show that SELMCAST is efficient and always achieves near-optimal performance.

关键词： Distributed learning receiver selection parameter synchronization

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Semi-analytical C³ corner toolpath generation containing spatial arc segments for 5-axis hybrid robot

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2025年第3期137卷 1631-1649页

作者： Liu, Sijiang Xiao, Juliang Zheng, Xucang Liu, Haitao Tianjin Univ Key Lab Mech Theory & Equipment Design Minist Educ Tianjin 300354 Peoples R China

The discontinuity of tangent, curvature, and curvature derivative of the 5-axis toolpath consisting of line and arc segments defined by the G01/G02/G03 commands limits the performance of hybrid robot in high-efficiency and high-precision milling machining. To guarantee the high-order continuous and smooth machining, a C-3 continuous corner smoothing 5-axis toolpath containing spatial arc segments is semi-analytically generated. Firstly, the control points of the smoothing quintic B-spline for line and arc segments are constructed analytically based on the G(3) continuity conditions. Within the constraints of the established explicit smoothing error expressions, the G(3) continuous smoothing for three kinds of tooltip positions, namely, spatial line-line pairs, arc-arc pairs, and line-arc pairs, is investigated. Meanwhile, the smoothing error model of tool orientation is analytically established. Then, the parameter synchronization of the tool orientation at the junction following the tooltip position is achieved by replacing the remaining segments with seven B-spline curves as synchronization curves. Finally, simulations and experiments with the typical 5-axis toolpath containing spatial arc segments are carried out to verify the validity of the proposed method in ensuring C-3 continuous motion in the robot operation space and good following performance in the joint space.

关键词： Corner smoothing C-3 continuity Spatial arc toolpath Tool orientation parameter synchronization B-spline curve

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Coarse recovery of carrier frequency and symbol timing in multibeam satellite channels

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INTERNATIONAL JOURNAL OF SATELLITE COMMUNICATIONS AND NETWORKING 2019年第1期37卷 31-42页

作者： Gappmair, Wilfried Plimon, Karin Ginesi, Alberto Graz Univ Technol Inst Commun Networks & Satellite Commun Inffeldgasse 12 A-8010 Graz Austria Joanneum Res Inst Informat & Commun Technol Graz Austria European Space Agcy Telecommun Syst & Tech Sect Noordwijk Netherlands

A multibeam concept under full frequency reuse is a major prerequisite for high throughput satellite systems. The resulting interference problems might be tackled by appropriately designed precoding or multiuser detection schemes. However, before such powerful techniques are applicable, the most important transmission parameters have to be recovered successfully. In the context of this paper, a feedback structure for joint control of carrier frequency and symbol timing is investigated for a multibeam scenario, which has been developed in some previous work by the authors for a single user link. It is to be noticed that we describe a recovery method for a multibeam satellite network with suitably selected interference mitigation techniques;as a consequence, all cochannels are assumed to be aligned in frequency and time to the reference beam;other signal models are out of scope and not addressed in this contribution.

关键词： carrier frequency multibeam satellite channels parameter synchronization symbol timing

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Modeling and Chaos Control of Feedback-Type PWM DC/DC Converter

Modeling and Chaos Control of Feedback-Type PWM DC/DC Conver...

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3rd International Conference on Artificial Intelligence and Computational Intelligence (AICI 2011)

作者： Pan, Feng Du, Yang Dong, Zonghui Taiyuan Univ Sci & Technol Elect Informat Engn Coll Taiyuan Peoples R China

ISBN: (纸本)9783642238864

In this paper, a discrete iterative model of feedback-type DC/DC converter is constructed using Laplace transform. The advantage of this model is proved comparing with state space average model. Self-adaptive control and parameter synchronization is applied to the chaos control of DC/DC converter. Simulation results show the effectiveness of this mathematical model and control method.

关键词： modeling chaos control DC/DC converter adaptive control parameter synchronization

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Joint synchronization of Symbol Timing and Carrier Frequency Using the Extended Zero-Crossing Property

Joint Synchronization of Symbol Timing and Carrier Frequency...

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8th Advanced Satellite Multimedia Systems Conference (ASMS) / 14th Signal Processing for Space Communications Workshop (SPSC)

作者： Gappmair, Wilfried Schlemmer, Harald Ginesi, Alberto Graz Univ Technol Inst Commun Networks & Satellite Commun A-8010 Graz Austria Joanneum Res Inst Informat & Commun Technol Graz Austria European Space Agcy Noordwijk Netherlands

ISBN: (纸本)9781509016822

In a recently published paper, a novel approach for blind feedback synchronization of the symbol timing has been proposed. In order to avoid any jitter floor irrespective of the selected modulation scheme, a filter with very particular properties has been developed and placed in parallel to the receiver matched filter. Nevertheless, the jitter performance of this method degrades in case the carrier frequency offset does not vanish. Therefore, joint synchronization of symbol timing and carrier frequency will be studied in the current paper, based on the dual-filter framework developed in some previous works. To this end, we introduce a very simple frequency error detector, which is analyzed in terms of open-loop characteristic (S-curve) and jitter variance, forming this way the ground for joint recovery.

关键词： parameter synchronization joint symbol timing and carrier frequency recovery extended zero-crossing property computational complexity

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An Analytical Method for Decoupled Local Smoothing of Linear Paths in Industrial Robots

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ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 2021年 72卷 102193-102193页

作者： Peng, Jingfu Huang, Pengsheng Ding, Ye Ding, Han Shanghai Jiao Tong Univ Sch Mech Engn State Key Lab Mech Syst & Vibrat Shanghai 200240 Peoples R China

The linear-format path is widely adopted to approximate the continuous contour in robot controllers. The tangential discontinuity of the linear paths usually causes the discontinuity of the joint velocity. To comply with the joint kinematics limits, the robots have to stop at each corner point, resulting in a great loss of efficiency. To achieve a smooth motion, this paper presents an analytical decoupled C3 continuous local path smoothing method for industrial robots. The tool position path is smoothed in the reference frame while the tool orientation is smoothed in the rotation parametric space based on the exponential coordinates of rotations. The quintic Bsplines are inserted at the corners of the linear segments to achieve the G3 continuity of the tool position path and tool orientation path. The orientation smoothing error is constrained analytically. By reparameterization of the remaining linear segments using specially constructed B-splines, the C3 continuity of the tool position path and tool orientation path is achieved. Then, the synchronization of the tool orientation path and tool position path can be guaranteed by sharing the same curve parameter. Besides, to improve the smoothness of the angular motion on the remaining linear segments during parameter synchronization, the transition lengths of the inserted B-splines are optimized. The proposed local smoothing method guarantees that the generated smooth orientation path in the rotation space is invariant with the selection of the reference frame and the orientation of the tool frame, and ensures the jerk-continuous motion with a smoother angular motion on the remaining linear segments, which could improve the motion smoothness of the tool path and tracking accuracy. The effectiveness of the proposed method is validated through simulation and experiments.

关键词： Local smoothing parameter synchronization Exponential coordinates Orientation smoothing error Angular motion Industrial robot

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