What is recorded here?
Added a quadratic penalty around the broadcast model to local client objectives, allowing inexact local solutions while analyzing progress under a device-dissimilarity condition.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Original 2018 front starts Anit Kumar Sahu then Tian Li, equal-contribution marked; later title/order not retroactively substituted. Inherits proximal regularization and FedAvg. Theory needs bounded local dissimilarity away from approximate stationarity and specified smoothness/solver accuracy; not convergence under arbitrary heterogeneous data, any proximal coefficient or unrestricted inexact solves.
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People and systems
Anit Kumar Sahu; Tian Li; Maziar Sanjabi; Manzil Zaheer; Ameet Talwalkar; Virginia Smith
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
FedProx: proximal local subproblems for heterogeneous federated optimization
Added a quadratic penalty around the broadcast model to local client objectives, allowing inexact local solutions while analyzing progress under a device-dissimilarity condition.
Scientific scope
Original 2018 front starts Anit Kumar Sahu then Tian Li, equal-contribution marked; later title/order not retroactively substituted. Inherits proximal regularization and FedAvg. Theory needs bounded local dissimilarity away from approximate stationarity and specified smoothness/solver accuracy; not convergence under arbitrary heterogeneous data, any proximal coefficient or unrestricted inexact solves.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Anit Kumar Sahu; Tian Li; Maziar Sanjabi; Manzil Zaheer; Ameet Talwalkar; Virginia Smith
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.