{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T16:09:25Z","timestamp":1764778165364,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100003579","name":"University of Toronto","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003579","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,12,3]]},"DOI":"10.1145\/3769102.3774388","type":"proceedings-article","created":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T16:00:41Z","timestamp":1764777641000},"page":"1-3","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Poster: Leveraging Geo-Spatiality in Geo-Distributed Vector Databases"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2298-3851","authenticated-orcid":false,"given":"Victor","family":"Pineda","sequence":"first","affiliation":[{"name":"Dept. Computer Science, University of Toronto, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0314-0167","authenticated-orcid":false,"given":"Niv","family":"Dayan","sequence":"additional","affiliation":[{"name":"Dept. Computer Science, University of Toronto, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6730-555X","authenticated-orcid":false,"given":"Eyal","family":"de Lara","sequence":"additional","affiliation":[{"name":"Dept. Computer Science, University of Toronto, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,12,3]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Hassan Abedi. [n. d.] Large dataset of geotagged images. (). https:\/\/www.kaggle.com\/datasets\/habedi\/large-dataset-of-geotagged-images\/data."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Guillaume Astruc et al. 2024. OpenStreetView-5M: The many roads to global visual geolocation. CVPR.","DOI":"10.1109\/CVPR52733.2024.02074"},{"key":"e_1_3_2_1_3_1","unstructured":"Rachid Guerraoui Matej Pavlovic and Dragos-Adrian Seredinschi. 2016. Tradeoffs in replicated systems."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.14778\/3554821.3554843"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","unstructured":"Moshik Hershcovitch et al. 2024. Zipnn: lossless compression for ai models. (Nov. 2024). 10.48550\/arXiv.2411.05239","DOI":"10.48550\/arXiv.2411.05239"},{"key":"e_1_3_2_1_6_1","unstructured":"HuggingFace. [n. d.] Candle: minimalist ml framework for rust. (). https:\/\/github.com\/huggingface\/candle."},{"key":"e_1_3_2_1_7_1","unstructured":"Zhi Jing Yongye Su and Yikun Han. 2024. When large language models meet vector databases: a survey. (2024). https:\/\/arxiv.org\/abs\/2402.01763 arXiv:2402.01763 [cs.DB]."},{"key":"e_1_3_2_1_8_1","volume-title":"British Machine Vision Conference (BMVC). (Nov.","author":"Khanal Subash","year":"2023","unstructured":"Subash Khanal, Srikumar Sastry, Aayush Dhakal, and Nathan Jacobs. 2023. Learning tri-modal embeddings for zero-shot soundscape mapping. In British Machine Vision Conference (BMVC). (Nov. 2023)."},{"key":"e_1_3_2_1_9_1","unstructured":"Anqi Mao Mehryar Mohri and Yutao Zhong. 2023. Cross-entropy loss functions: theoretical analysis and applications. (2023). https:\/\/arxiv.org\/abs\/2304.07288 arXiv: 2304.07288 [cs.LG]."},{"key":"e_1_3_2_1_10_1","unstructured":"Lang Mei Siyu Mo Zhihan Yang and Chong Chen. 2025. A survey of multimodal retrieval-augmented generation. (2025). https:\/\/arxiv.org\/abs\/2504.08748 arXiv: 2504.08748 [cs.IR]."},{"key":"e_1_3_2_1_11_1","unstructured":"[n. d.] Https:\/\/qdrant.tech\/. ()."},{"key":"e_1_3_2_1_12_1","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava Nitish","year":"2014","unstructured":"Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res., 15, 1, (Jan. 2014), 1929\u20131958.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Grant Van Horn Elijah Cole Sara Beery Kimberly Wilber Serge Belongie and Oisin Mac Aodha. 2021. Benchmarking representation learning for natural world image collections. In Computer Vision and Pattern Recognition.","DOI":"10.1109\/CVPR46437.2021.01269"},{"key":"e_1_3_2_1_14_1","unstructured":"Ashish Vulimiri P. Brighten Godfrey Radhika Mittal Justine Sherry Sylvia Ratnasamy and Scott Shenker. 2013. Low latency via redundancy. (2013). https:\/\/arxiv.org\/abs\/1306.3707 arXiv: 1306.3707 [cs.NI]."},{"key":"e_1_3_2_1_15_1","volume-title":"Computer Vision and Pattern Recognition (CVPR). (June","author":"Warburg Frederik","year":"2020","unstructured":"Frederik Warburg, S\u00f8ren Hauberg, Manuel L\u00f3pez-Antequera, Pau Gargallo, Yubin Kuang, and Javier Civera. 2020. Mapillary street-level sequences: a dataset for lifelong place recognition. In Computer Vision and Pattern Recognition (CVPR). (June 2020)."},{"key":"e_1_3_2_1_16_1","unstructured":"WonderNetwork. 2025. Https:\/\/wondernetwork.com\/pings. (2025)."}],"event":{"name":"SEC '25: Tenth ACM\/IEEE Symposium on Edge Computing","location":"the Hilton Arlington National Landing Arlington VA USA","acronym":"SEC '25","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","IEEE Computer Society"]},"container-title":["Proceedings of the Tenth ACM\/IEEE Symposium on Edge Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3769102.3774388","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T16:05:58Z","timestamp":1764777958000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3769102.3774388"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,3]]},"references-count":16,"alternative-id":["10.1145\/3769102.3774388","10.1145\/3769102"],"URL":"https:\/\/doi.org\/10.1145\/3769102.3774388","relation":{},"subject":[],"published":{"date-parts":[[2025,12,3]]},"assertion":[{"value":"2025-12-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}