{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T15:45:51Z","timestamp":1775576751193,"version":"3.50.1"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J. Comput. Sci. Technol."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1007\/s11390-024-3342-y","type":"journal-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T15:26:21Z","timestamp":1741793181000},"page":"196-214","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Orchestrating In-Network Aggregation for Distributed Machine Learning via In-Band Network Telemetry"],"prefix":"10.1007","volume":"40","author":[{"given":"Ming-Tao","family":"Ji","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Bo","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhu-Zhong","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tuo","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bao-Liu","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,12]]},"reference":[{"issue":"2","key":"3342_CR1","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.1109\/COMST.2024.3353265","volume":"26","author":"M Xu","year":"2024","unstructured":"Xu M, Du H, Niyato D, Kang J, Xiong Z, Mao S, Han Z, Jamalipour A, Kim D I, Shen X, Leung V C M, Poor H V. Unleashing the power of edge-cloud generative AI in mobile networks: A survey of AIGC services. IEEE Communications Surveys & Tutorials, 2024, 26(2): 1127\u20131170. DOI: https:\/\/doi.org\/10.1109\/COMST.2024.3353265.","journal-title":"IEEE Communications Surveys & Tutorials"},{"issue":"7","key":"3342_CR2","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1109\/TPDS.2024.3379933","volume":"35","author":"R Mishra","year":"2024","unstructured":"Mishra R, Gupta H P, Banga G, Das S K. Fed-RAC: Resource-aware clustering for tackling heterogeneity of participants in federated learning. IEEE Trans. Parallel and Distributed Systems, 2024, 35(7): 1207\u20131220. DOI: https:\/\/doi.org\/10.1109\/TPDS.2024.3379933.","journal-title":"IEEE Trans. Parallel and Distributed Systems"},{"issue":"3","key":"3342_CR3","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1109\/TPDS.2024.3349617","volume":"35","author":"D Wu","year":"2024","unstructured":"Wu D, Ullah R, Rodgers P, Kilpatrick P, Spence I, Varghese B. EcoFed: Efficient communication for DNN partitioning-based federated learning. IEEE Trans. Parallel and Distributed Systems, 2024, 35(3): 377\u2013390. DOI: https:\/\/doi.org\/10.1109\/TPDS.2024.3349617.","journal-title":"IEEE Trans. Parallel and Distributed Systems"},{"key":"3342_CR4","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.comcom.2022.11.004","volume":"198","author":"A Feng","year":"2023","unstructured":"Feng A, Dong D, Lei F, Ma J, Yu E, Wang R. In-network aggregation for data center networks: A survey. Computer Communications, 2023, 198: 63\u201376. DOI: https:\/\/doi.org\/10.1016\/j.comcom.2022.11.004.","journal-title":"Computer Communications"},{"key":"3342_CR5","doi-asserted-by":"publisher","first-page":"2879","DOI":"10.1145\/3589334.3645394","volume-title":"Proc. the 2024 ACM on Web Conference","author":"J Liu","year":"2024","unstructured":"Liu J, Zhai Y, Zhao G, Xu H, Fang J, Zeng Z, Zhu Y. InArt: In-Network aggregation with route selection for accelerating distributed training. In Proc. the 2024 ACM on Web Conference, May 2024, pp.2879\u20132889. DOI: https:\/\/doi.org\/10.1145\/3589334.3645394."},{"key":"3342_CR6","first-page":"279","volume-title":"Proc. the 46th ACM\/IEEE Annual International Symposium on Computer Architecture (ISCA)","author":"Y Li","year":"2019","unstructured":"Li Y, Liu I J, Yuan Y, Chen D, Schwing A, Huang J. Accelerating distributed reinforcement learning with inswitch computing. In Proc. the 46th ACM\/IEEE Annual International Symposium on Computer Architecture (ISCA), Jun. 2019, pp.279\u2013291."},{"key":"3342_CR7","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1145\/3476886.3477505","volume-title":"Proc. the 12th ACM SIGOPS Asia-Pacific Workshop on Systems","author":"T Cui","year":"2021","unstructured":"Cui T, Zhang W, Zhang K, Krishnamurthy A. Offloading load balancers onto SmartNICs. In Proc. the 12th ACM SIGOPS Asia-Pacific Workshop on Systems, Aug. 2021, pp.56\u201362. DOI: https:\/\/doi.org\/10.1145\/3476886.3477505."},{"key":"3342_CR8","first-page":"741","volume-title":"Proc. the 18th USENIX Symposium on Networked Systems Design and Implementation","author":"C Lao","year":"2021","unstructured":"Lao C, Le Y, Mahajan K, Chen Y, Wu W, Akella A, Swift M. ATP: In-network aggregation for multi-tenant learning. In Proc. the 18th USENIX Symposium on Networked Systems Design and Implementation, Apr. 2021, pp.741\u2013761."},{"key":"3342_CR9","first-page":"785","volume-title":"Proc. the 18th USENIX Symposium on Networked Systems Design and Implementation","author":"A Sapio","year":"2021","unstructured":"Sapio A, Canini M, Ho C Y, Nelson J, Kalnis P, Kim C, Krishnamurthy A, Moshref M, Ports D R K, Richt\u00e1rik P. Scaling distributed machine learning with in-network aggregation. In Proc. the 18th USENIX Symposium on Networked Systems Design and Implementation, Apr. 2021, pp.785\u2013808."},{"key":"3342_CR10","volume-title":"Proc. the 4th Conference on Machine Learning and Systems","author":"N Gebara","year":"2021","unstructured":"Gebara N, Costa P, Ghobadi M. PANAMA: In-network aggregation for shared machine learning clusters. In Proc. the 4th Conference on Machine Learning and Systems, Apr. 2021."},{"key":"3342_CR11","unstructured":"Wang H, Qin Y, Lao C I, Le Y, Wu W, Chen K. Efficient data-plane memory scheduling for in-network aggregation. arXiv: 2201.06398, 2022. https:\/\/arxiv.org\/abs\/2201.06398, Sept. 2024."},{"key":"3342_CR12","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1145\/3127479.3132018","volume-title":"Proc. the 2017 Symposium on Cloud Computing","author":"A Sapio","year":"2017","unstructured":"Sapio A, Abdelaziz I, Canini M, Kalnis P. DAIET: A system for data aggregation inside the network. In Proc. the 2017 Symposium on Cloud Computing, Sept. 2017, p.626. DOI: https:\/\/doi.org\/10.1145\/3127479.3132018."},{"key":"3342_CR13","doi-asserted-by":"publisher","first-page":"1639","DOI":"10.1109\/INFOCOM48880.2022.9796980","volume-title":"Proc. the 2022 IEEE Conference on Computer Communications","author":"R Segal","year":"2022","unstructured":"Segal R, Avin C, Scalosub G. Constrained in-network computing with low congestion in datacenter networks. In Proc. the 2022 IEEE Conference on Computer Communications, May. 2022, pp.1639\u20131648. DOI: https:\/\/doi.org\/10.1109\/INFOCOM48880.2022.9796980."},{"key":"3342_CR14","doi-asserted-by":"publisher","first-page":"110211","DOI":"10.1016\/j.comnet.2024.110211","volume":"241","author":"M Ji","year":"2024","unstructured":"Ji M, Su C, Fan Y, Jin Y, Qian Z, Yan Y, Chen Y, Cao T, Zhang S, Ye B. INTaaS: Provisioning in-band network telemetry as a service via online learning. Computer Networks, 2024, 241: 110211. DOI: https:\/\/doi.org\/10.1016\/j.comnet.2024.110211.","journal-title":"Computer Networks"},{"key":"3342_CR15","doi-asserted-by":"publisher","first-page":"5490","DOI":"10.1109\/ICC45041.2023.10279624","volume-title":"Proc. the 2023 IEEE International Conference on Communications","author":"M Ji","year":"2023","unstructured":"Ji M, Su C, Yan Y, Qian Z, Chen Y, Jin Y, Zhang S, Ye B. INTView: Adaptive planner for in-band network telemetry without detours. In Proc. the 2023 IEEE International Conference on Communications, May 28\u2013Jun. 1, 2023, pp.5490\u20135495. DOI: https:\/\/doi.org\/10.1109\/ICC45041.2023.10279624."},{"key":"3342_CR16","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS57198.2023.10188738","volume-title":"Proc. the 31st IEEE\/ACM International Symposium on Quality of Service (IWQoS)","author":"M Ji","year":"2023","unstructured":"Ji M, Su C, Yan Y, Qian Z, Zhang S, Chen Y, Cao T, Shi X, Vasquez L, Ye B. Adaptive provisioning in-band network telemetry at computing power network [invited]. In Proc. the 31st IEEE\/ACM International Symposium on Quality of Service (IWQoS), Jun. 2023. DOI: https:\/\/doi.org\/10.1109\/IWQoS57198.2023.10188738."},{"issue":"1","key":"3342_CR17","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1002\/nav.3800220110","volume":"22","author":"H M Salkin","year":"1975","unstructured":"Salkin H M, De Kluyver C A. The knapsack problem: A survey. Naval Research Logistics Quarterly, 1975, 22(1): 127\u2013144. DOI: https:\/\/doi.org\/10.1002\/nav.3800220110.","journal-title":"Naval Research Logistics Quarterly"},{"key":"3342_CR18","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS57198.2023.10188783","volume-title":"Proc. the 31st IEEE\/ACM International Symposium on Quality of Service (IWQoS)","author":"J Fang","year":"2023","unstructured":"Fang J, Zhao G, Xu H, Yu Z, Shen B, Xie L. GOAT: Gradient scheduling with collaborative in-network aggregation for distributed training. In Proc. the 31st IEEE\/ACM International Symposium on Quality of Service (IWQoS), Jun. 2023. DOI: https:\/\/doi.org\/10.1109\/IWQoS57198.2023.10188783."},{"key":"3342_CR19","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1145\/3544216.3544262","volume-title":"Proc. the 2022 ACM SIGCOMM Conference","author":"M Yang","year":"2022","unstructured":"Yang M, Baban A, Kugel V, Libby J, Mackie S, Kananda S S R, Wu C H, Ghobadi M. Using Trio: Juniper networks\u2019 programmable chipset-for emerging in-network applications. In Proc. the 2022 ACM SIGCOMM Conference, Aug. 2022, pp.633\u2013648. DOI: https:\/\/doi.org\/10.1145\/3544216.3544262."},{"key":"3342_CR20","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1145\/3542929.3563460","volume-title":"Proc. the 13th Symposium on Cloud Computing","author":"W Gao","year":"2022","unstructured":"Gao W, Sun P, Wen Y, Zhang T. Titan: A scheduler for foundation model fine-tuning workloads. In Proc. the 13th Symposium on Cloud Computing, Nov. 2022, pp.348\u2013354. DOI: https:\/\/doi.org\/10.1145\/3542929.3563460."},{"key":"3342_CR21","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1145\/3397166.3409128","volume-title":"Proc. the 21st International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","author":"Q Zhang","year":"2020","unstructured":"Zhang Q, Zhou R, Wu C, Jiao L, Li Z. Online scheduling of heterogeneous distributed machine learning jobs. In Proc. the 21st International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Oct. 2020, pp.111\u2013120. DOI: https:\/\/doi.org\/10.1145\/3397166.3409128."},{"issue":"4","key":"3342_CR22","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1145\/2740070.2626316","volume":"44","author":"M Alizadeh","year":"2014","unstructured":"Alizadeh M, Edsall T, Dharmapurikar S, Vaidyanathan R, Chu K, Fingerhut A, Lam V T, Matus F, Pan R, Yadav N, Varghese G. CONGA: Distributed congestion-aware load balancing for datacenters. ACM SIGCOMM Computer Communication Review, 2014, 44(4): 503\u2013514. DOI: https:\/\/doi.org\/10.1145\/2740070.2626316.","journal-title":"ACM SIGCOMM Computer Communication Review"},{"key":"3342_CR23","doi-asserted-by":"publisher","DOI":"10.1145\/2890955.2890968","volume-title":"Proc. the 2016 Symposium on SDN Research","author":"N Katta","year":"2016","unstructured":"Katta N, Hira M, Kim C, Sivaraman A, Rexford J. HULA: Scalable load balancing using programmable data planes. In Proc. the 2016 Symposium on SDN Research, Mar. 2016, Article No. 10. DOI: https:\/\/doi.org\/10.1145\/2890955.2890968."},{"key":"3342_CR24","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1145\/3143361.3143401","volume-title":"Proc. the 13th International Conference on Emerging Networking Experiments and Technologies","author":"N Katta","year":"2017","unstructured":"Katta N, Ghag A, Hira M, Keslassy I, Bergman A, Kim C, Rexford J. Clove: Congestion-aware load balancing at the virtual edge. In Proc. the 13th International Conference on Emerging Networking Experiments and Technologies, Nov. 2017, pp.323\u2013335. DOI: https:\/\/doi.org\/10.1145\/3143361.3143401."},{"key":"3342_CR25","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.jpdc.2021.01.006","volume":"152","author":"J Zheng","year":"2021","unstructured":"Zheng J, Qin L, Liu K, Tian B, Tian C, Li B, Chen G. Django: Bilateral coflow scheduling with predictive concurrent connections. Journal of Parallel and Distributed Computing, 2021, 152: 45\u201356. DOI: https:\/\/doi.org\/10.1016\/j.jpdc.2021.01.006.","journal-title":"Journal of Parallel and Distributed Computing"},{"key":"3342_CR26","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1109\/INFOCOM.2019.8737529","volume-title":"Proc. the 2019 IEEE Conference on Computer Communications","author":"T Pan","year":"2019","unstructured":"Pan T, Song E, Bian Z, Lin X, Peng X, Zhang J, Huang T, Liu B, Liu Y. INT-path: Towards optimal path planning for in-band network-wide telemetry. In Proc. the 2019 IEEE Conference on Computer Communications, Apr. 29\u2013May 2, 2019, pp.487\u2013495. DOI: https:\/\/doi.org\/10.1109\/INFOCOM.2019.8737529."},{"key":"3342_CR27","volume-title":"Proc. the 2015 ACM SIGCOMM","author":"C Kim","year":"2015","unstructured":"Kim C, Sivaraman A, Katta N, Bas A, Dixit A, Wobker L J, Networks B. In-band network telemetry via programmable dataplanes. In Proc. the 2015 ACM SIGCOMM, Aug. 2015."},{"key":"3342_CR28","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/2785956.2787496","volume-title":"Proc. the 2015 ACM Conference on Special Interest Group on Data Communication","author":"C Guo","year":"2015","unstructured":"Guo C, Yuan L, Xiang D, Dang Y, Huang R, Maltz D, Liu Z, Wang Y, Pang B, Chen H, Lin Z W, Kurien V. Pingmesh: A large-scale system for data center network latency measurement and analysis. In Proc. the 2015 ACM Conference on Special Interest Group on Data Communication, Aug. 2015, pp.139\u2013152. DOI: https:\/\/doi.org\/10.1145\/2785956.2787496."},{"issue":"6","key":"3342_CR29","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1137\/0315059","volume":"15","author":"R R Meyer","year":"1977","unstructured":"Meyer R R. A class of nonlinear integer programs solvable by a single linear program. SIAM Journal on Control and Optimization, 1977, 15(6): 935\u2013946. DOI: https:\/\/doi.org\/10.1137\/0315059.","journal-title":"SIAM Journal on Control and Optimization"},{"key":"3342_CR30","unstructured":"Pan H, Cui P, Li Z, Jia R, Zhang P, Zhang L, Yang Y, Wu J, Dong J, Cao Z, Li Q, Liu H H, Laurent M, Xie G. Enabling fast and flexible distributed deep learning with programmable switches. arXiv: 2205.05243, 2022, https:\/\/arxiv.org\/abs\/2205.05243, Sept. 2024."},{"key":"3342_CR31","doi-asserted-by":"publisher","unstructured":"Parizotto R, Coelho B L, Nunes D C, Haque I, Schaeffer-Filho A. Offloading machine learning to programmable data planes: A systematic survey. ACM Computing Surveys, 2023, 56(1): Article No. 18. DOI: https:\/\/doi.org\/10.1145\/3605153.","DOI":"10.1145\/3605153"},{"key":"3342_CR32","volume-title":"Proc. the 9th USENIX Conference on Networked Systems Design and Implementation","author":"P Costa","year":"2012","unstructured":"Costa P, Donnelly A, Rowstron A, O\u2019Shea G. Camdoop: Exploiting in-network aggregation for big data applications. In Proc. the 9th USENIX Conference on Networked Systems Design and Implementation, Apr. 2012, Article No. 3."},{"key":"3342_CR33","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1145\/2674005.2674996","volume-title":"Proc. the 10th ACM International on Conference on Emerging Networking Experiments and Technologies","author":"L Mai","year":"2014","unstructured":"Mai L, Rupprecht L, Alim A, Costa P, Migliavacca M, Pietzuch P, Wolf A L. NetAgg: Using middle-boxes for application-specific on-path aggregation in data centres. In Proc. the 10th ACM International on Conference on Emerging Networking Experiments and Technologies, Dec. 2014, pp.249\u2013262. DOI: https:\/\/doi.org\/10.1145\/2674005.2674996."},{"key":"3342_CR34","volume-title":"Proc. the 1st Workshop on Optimization of Communication in HPC","author":"R L Graham","year":"2016","unstructured":"Graham R L, Bureddy D, Lui P, Rosenstock H, Shainer G, Bloch G, Goldenerg D, Dubman M, Kotchubievsky S, Koushnir V, Levi L, Margolin A, Ronen T, Shpiner A, Wertheim O, Zahavi E. Scalable hierarchical aggregation protocol (SHArP): A hardware architecture for efficient data reduction. In Proc. the 1st Workshop on Optimization of Communication in HPC, Nov. 2016."},{"key":"3342_CR35","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1145\/3152434.3152461","volume-title":"Proc. the 16th ACM Workshop on Hot Topics in Networks","author":"A Sapio","year":"2017","unstructured":"Sapio A, Abdelaziz I, Aldilaijan A, Canini M, Kalnis P. In-Network computation is a dumb idea whose time has come. In Proc. the 16th ACM Workshop on Hot Topics in Networks, Nov. 2017, pp.150\u2013156. DOI: https:\/\/doi.org\/10.1145\/3152434.3152461."},{"key":"3342_CR36","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00017","volume-title":"Proc. the 2019 IEEE International Conference on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA\/BDCloud\/SocialCom\/SustainCom)","author":"F Yang","year":"2019","unstructured":"Yang F, Wang Z, Ma X, Yuan G, An X. SwitchAgg: A further step towards in-network computing. In Proc. the 2019 IEEE International Conference on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA\/BDCloud\/SocialCom\/SustainCom), Dec. 2019, pp.36\u201345. DOI: https:\/\/doi.org\/10.1109\/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00017."},{"key":"3342_CR37","doi-asserted-by":"publisher","unstructured":"Ye Z, Gao W, Hu Q, Sun P, Wang X, Luo Y, Zhang T, Wen Y. Deep learning workload scheduling in GPU datacenters: A survey. ACM Computing Surveys, 2024, 56(6): Article No. 146. DOI: https:\/\/doi.org\/10.1145\/3638757.","DOI":"10.1145\/3638757"},{"key":"3342_CR38","volume-title":"Proc. the 21st USENIX Symposium on Networked Systems Design and Implementation","author":"S Rajasekaran","year":"2024","unstructured":"Rajasekaran S, Ghobadi M, Akella A. CASSINI: Network-aware job scheduling in machine learning clusters. In Proc. the 21st USENIX Symposium on Networked Systems Design and Implementation, Apr. 2024."},{"key":"3342_CR39","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1145\/3575693.3575721","volume-title":"Proc. the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems","author":"D Gu","year":"2023","unstructured":"Gu D, Zhao Y, Zhong Y, Xiong Y, Han Z, Cheng P, Yang F, Huang G, Jin X, Liu X. ElasticFlow: An elastic serverless training platform for distributed deep learning. In Proc. the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Jan. 2023, pp.266\u2013280. DOI: https:\/\/doi.org\/10.1145\/3575693.3575721."},{"key":"3342_CR40","doi-asserted-by":"publisher","first-page":"642","DOI":"10.1145\/3600006.3613175","volume-title":"Proc. the 29th Symposium on Operating Systems Principles","author":"S Jayaram Subramanya","year":"2023","unstructured":"Jayaram Subramanya S, Arfeen D, Lin S, Qiao A, Jia Z, Ganger G R. Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling. In Proc. the 29th Symposium on Operating Systems Principles, Oct. 2023, pp.642\u2013657. DOI: https:\/\/doi.org\/10.1145\/3600006.3613175."},{"issue":"12","key":"3342_CR41","doi-asserted-by":"publisher","first-page":"1755","DOI":"10.1109\/TC.2019.2931716","volume":"68","author":"Q Zhou","year":"2019","unstructured":"Zhou Q, Wang K, Li P, Zeng D, Guo S, Ye B, Guo M. Fast coflow scheduling via traffic compression and stage pipelining in datacenter networks. IEEE Trans. Computers, 2019, 68(12): 1755\u20131771. DOI: https:\/\/doi.org\/10.1109\/TC.2019.2931716.","journal-title":"IEEE Trans. Computers"},{"issue":"5","key":"3342_CR42","doi-asserted-by":"publisher","first-page":"2313","DOI":"10.1109\/TNET.2023.3253302","volume":"31","author":"Y Jin","year":"2023","unstructured":"Jin Y, Jiao L, Ji M, Qian Z, Zhang S, Chen N, Lu S. Scheduling in-band network telemetry with convergence-preserving federated learning. IEEE\/ACM Trans. Networking, 2023, 31(5): 2313\u20132328. DOI: https:\/\/doi.org\/10.1109\/TNET.2023.3253302.","journal-title":"IEEE\/ACM Trans. Networking"},{"key":"3342_CR43","doi-asserted-by":"publisher","first-page":"2261","DOI":"10.1109\/ICPADS60453.2023.00304","volume-title":"Proc. the 29th International Conference on Parallel and Distributed Systems (ICPADS)","author":"M Ji","year":"2023","unstructured":"Ji M, Qian Z, Ye B. When CPN meets AI: Resource provisioning for inference query upon computing power network. In Proc. the 29th International Conference on Parallel and Distributed Systems (ICPADS), Dec. 2023, pp.2261\u20132268. DOI: https:\/\/doi.org\/10.1109\/ICPADS60453.2023.00304."},{"key":"3342_CR44","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1109\/SECON58729.2023.10287443","volume-title":"Proc. the 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","author":"M Ji","year":"2023","unstructured":"Ji M, Zhang Z, Zhang Y, Qian Z, Cao T, Su C, Ye B. Incentivizing edge AI with accuracy preserving via online randomized auctions. In Proc. the 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Sept. 2023, pp.384\u2013385. DOI: https:\/\/doi.org\/10.1109\/SECON58729.2023.10287443."}],"container-title":["Journal of Computer Science and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11390-024-3342-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11390-024-3342-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11390-024-3342-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T15:26:27Z","timestamp":1741793187000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11390-024-3342-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":44,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["3342"],"URL":"https:\/\/doi.org\/10.1007\/s11390-024-3342-y","relation":{},"ISSN":["1000-9000","1860-4749"],"issn-type":[{"value":"1000-9000","type":"print"},{"value":"1860-4749","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]},"assertion":[{"value":"27 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 March 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Conflict of Interest The authors declare that they have no conflict of interest.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics"}}]}}