{"id":"https://openalex.org/W7123411730","doi":"https://doi.org/10.1145/3772052.3772228","title":"PowerTrip: Exploiting Federated Heterogeneous Datacenter Power for Distributed ML Training","display_name":"PowerTrip: Exploiting Federated Heterogeneous Datacenter Power for Distributed ML Training","publication_year":2025,"publication_date":"2025-11-19","ids":{"openalex":"https://openalex.org/W7123411730","doi":"https://doi.org/10.1145/3772052.3772228"},"language":null,"primary_location":{"id":"doi:10.1145/3772052.3772228","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772052.3772228","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM Symposium on Cloud Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772052.3772228","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045191020","display_name":"Talha Mehboob","orcid":"https://orcid.org/0000-0003-2155-8604"},"institutions":[{"id":"https://openalex.org/I177605424","display_name":"Amherst College","ror":"https://ror.org/028vqfs63","country_code":"US","type":"education","lineage":["https://openalex.org/I177605424"]},{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Talha Mehboob","raw_affiliation_strings":["UMassAmherst, Amherst, USA"],"raw_orcid":"https://orcid.org/0000-0003-2155-8604","affiliations":[{"raw_affiliation_string":"UMassAmherst, Amherst, USA","institution_ids":["https://openalex.org/I177605424","https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026765811","display_name":"Luanzheng Guo","orcid":"https://orcid.org/0000-0001-8266-0923"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luanzheng Guo","raw_affiliation_strings":["Pacific Northwest National Laboratory, Richland, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0001-8266-0923","affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory, Richland, Washington, USA","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047746050","display_name":"Nathan R. Tallent","orcid":"https://orcid.org/0000-0003-4297-3057"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan R. Tallent","raw_affiliation_strings":["Pacific Northwest National Laboratory, Richland, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0003-4297-3057","affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory, Richland, Washington, USA","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085746671","display_name":"Michael Zink","orcid":"https://orcid.org/0000-0002-0309-9240"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Zink","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0002-0309-9240","affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, Massachusetts, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059310848","display_name":"David Irwin","orcid":"https://orcid.org/0000-0003-1722-4927"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Irwin","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0003-1722-4927","affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, Massachusetts, USA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0768,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.97117935,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"762","last_page":"775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.39309999346733093,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.39309999346733093,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.23510000109672546,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.11999999731779099,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.6158000230789185},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5920000076293945},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5443000197410583},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5180000066757202},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5098999738693237},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5012000203132629},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.42239999771118164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419999837875366},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.646399974822998},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.6158000230789185},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5920000076293945},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5443000197410583},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5180000066757202},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5098999738693237},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5012000203132629},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.42239999771118164},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.39879998564720154},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34040001034736633},{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C36877392","wikidata":"https://www.wikidata.org/wiki/Q1229571","display_name":"Distributed power","level":3,"score":0.31049999594688416},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2838999927043915},{"id":"https://openalex.org/C118993495","wikidata":"https://www.wikidata.org/wiki/Q5042828","display_name":"Electrical efficiency","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3772052.3772228","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772052.3772228","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM Symposium on Cloud Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3772052.3772228","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772052.3772228","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM Symposium on Cloud Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2563505417","https://openalex.org/W2798720628","https://openalex.org/W3010927549","https://openalex.org/W4394945032","https://openalex.org/W4401857637"],"related_works":[],"abstract_inverted_index":{"The":[0],"exponential":[1],"growth":[2],"of":[3,19,63,112],"large-scale":[4],"AI":[5],"models":[6],"has":[7,50,90],"led":[8],"to":[9,27,37],"computational":[10,40],"and":[11,79,108],"power":[12,30,78,106,114],"demands":[13],"that":[14,35],"can":[15],"exceed":[16],"the":[17,28,61,71,80,110],"capacity":[18],"a":[20,57,67],"single":[21],"data":[22],"center.":[23],"This":[24],"is":[25],"due":[26],"limited":[29,38],"supplied":[31],"by":[32],"regional":[33,39],"grids":[34],"leads":[36],"power.":[41],"Consequently,":[42],"distributing":[43],"training":[44],"workloads":[45],"across":[46],"geographically":[47],"distributed":[48],"sites":[49],"become":[51],"essential.":[52],"However,":[53],"this":[54],"approach":[55],"introduces":[56],"significant":[58],"challenge":[59,111],"in":[60],"form":[62],"communication":[64,94],"overhead,":[65],"creating":[66],"fundamental":[68],"trade-off":[69],"between":[70,116],"performance":[72,81],"gains":[73],"from":[74,83],"accessing":[75],"greater":[76],"aggregate":[77],"losses":[82],"increased":[84],"network":[85],"latency.":[86],"Although":[87],"prior":[88],"work":[89],"focused":[91],"on":[92],"reducing":[93],"volume":[95],"or":[96],"using":[97],"heuristics":[98],"for":[99],"distribution,":[100],"these":[101],"methods":[102],"assume":[103],"constant":[104],"homogeneous":[105],"supplies":[107],"ignore":[109],"heterogeneous":[113],"availability":[115],"sites.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-14T00:00:00"}