{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:13:22Z","timestamp":1774419202066,"version":"3.50.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10887857","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T13:52:43Z","timestamp":1741787563000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["FABLE: A Bundle Method For Federated Learning In Wireless Systems"],"prefix":"10.1109","author":[{"given":"Daniel","family":"Cederberg","sequence":"first","affiliation":[{"name":"Stanford University,Department of Electrical Engineering,Stanford,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik G.","family":"Larsson","sequence":"additional","affiliation":[{"name":"Linköping University,Department of Electrical Engineering,Linköping,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikael","family":"Johansson","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Division of Decision and Control Systems,Stockholm,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.011.2000501"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118346"},{"key":"ref4","first-page":"1707","article-title":"Qsgd: communication-efficient sgd via gradient quantization and encoding","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","author":"Alistarh"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2022.3176253"},{"key":"ref6","first-page":"5977","article-title":"The convergence of sparsified gradient methods","volume-title":"Proceedings of the 32nd International Conference on Neural Information Processing Systems","author":"Alistarh"},{"key":"ref7","article-title":"Preserved central model for faster bidirectional compression in distributed settings","volume-title":"Proceedings of the 35th International Conference on Neural Information Processing Systems","author":"Philippenko"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/WPMC59531.2023.10338845"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3625558"},{"key":"ref10","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"Artificial intelligence and statistics"},{"key":"ref11","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine learning and systems","volume":"2","author":"Li"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447718"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3142678"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS57198.2023.10188699"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2023.3240883"},{"key":"ref16","article-title":"Federated learning with multi-resolution model broadcast","author":"Ryd\u00e9n","year":"2024"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.3026619"},{"key":"ref18","first-page":"6155","article-title":"DoubleSqueeze: Parallel stochastic gradient descent with double-pass error-compensated compression","volume-title":"Proceedings of the 36th International Conference on Machine Learning","author":"Tang"},{"key":"ref19","first-page":"6702","article-title":"Adaptive Gradient Descent without Descent","volume-title":"Proceedings of the 37th International Conference on Machine Learning","author":"Malitsky"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11081-011-9176-9"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/10556788.2024.2358790"},{"key":"ref22","article-title":"Artemis: tight convergence guarantees for bidirectional compression in federated learning","author":"Philippenko","year":"2020","journal-title":"CoRR"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10887857.pdf?arnumber=10887857","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:21:29Z","timestamp":1774416089000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10887857\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10887857","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}