{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:41:16Z","timestamp":1784137276567,"version":"3.55.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T00:00:00Z","timestamp":1705881600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T00:00:00Z","timestamp":1705881600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,22]]},"DOI":"10.1109\/asp-dac58780.2024.10473907","type":"proceedings-article","created":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T19:06:53Z","timestamp":1711393613000},"page":"716-721","source":"Crossref","is-referenced-by-count":8,"title":["HyperFeel: An Efficient Federated Learning Framework Using Hyperdimensional Computing"],"prefix":"10.1109","author":[{"given":"Haomin","family":"Li","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangxin","family":"Liu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yichi","family":"Chen","sequence":"additional","affiliation":[{"name":"Tianjin University,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Jiang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Towards federated learning at scale: System design","volume-title":"Proceedings of Machine Learning and Systems","author":"Bonawitz"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref3","article-title":"Federated learning with matched averaging","author":"Wang","year":"2020","journal-title":"arXiv"},{"key":"ref4","article-title":"Robust and communication-efficient federated learning from non-iid data","author":"Sattler","year":"2019","journal-title":"TNNLS"},{"key":"ref5","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"Artificial intelligence and statistics"},{"key":"ref6","article-title":"Language models are few-shot learners","volume-title":"NIPS","author":"Brown"},{"key":"ref7","article-title":"On the convergence of fedavg on non-iid data","author":"Li","year":"2019","journal-title":"arXiv"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3470496.3527422"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/DAC56929.2023.10247811"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531761"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA51647.2021.00028"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1045"},{"key":"ref13","article-title":"signsgd: Compressed optimisation for non-convex problems","volume-title":"ICML","author":"Bernstein"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRC.2016.7738683"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/AICAS51828.2021.9458526"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3489517.3530394"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRC.2017.8123650"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-17373-8_13"},{"key":"ref20","article-title":"Leaf: A benchmark for federated settings","author":"Caldas","year":"2018","journal-title":"arXiv"},{"key":"ref21","volume-title":"The mnist database of handwritten digits","author":"LeCun","year":"1998"},{"key":"ref22","article-title":"Emnist: An extension of mnist to handwritten letters","author":"Afshar","year":"2017","journal-title":"Retrieved September"},{"key":"ref23","article-title":"Fair resource allocation in federated learning","author":"Li","year":"2019","journal-title":"arXiv preprint arXiv:1905.10497"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.12.020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3101871"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3151853"},{"key":"ref27","article-title":"Pyvertical: A vertical federated learning framework for multi-headed splitnn","author":"Romanini","year":"2021","journal-title":"arXiv"},{"key":"ref28","article-title":"Flip feng shui: Hammering a needle in the software stack","author":"Razavi","year":"2016","journal-title":"USENIX Security"}],"event":{"name":"2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)","location":"Incheon, Korea, Republic of","start":{"date-parts":[[2024,1,22]]},"end":{"date-parts":[[2024,1,25]]}},"container-title":["2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10473777\/10473787\/10473907.pdf?arnumber=10473907","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T21:47:53Z","timestamp":1711489673000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10473907\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,22]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/asp-dac58780.2024.10473907","relation":{},"subject":[],"published":{"date-parts":[[2024,1,22]]}}}